4,520 Remote Artificial Intelligence (AI) Jobs - September 2026

Noodle is higher education’s leading strategy, services, and technology partner. We develop infrastructure, provide life-changing learning experiences, and grow the awareness of and the enrollment in some of the best academic institutions in the world. Our vision is “to empower universities to change the world.” We achieve this vision by offering our university partners various products and services that help them be more resilient, responsive, efficient, and interconnected. We’re looking for a Prompt Systems Engineer to sit at the intersection of AI capability and educational effectiveness. You will own the design, testing, and continuous improvement of the prompts and system instructions that power Noodle’s AI agents across enrollment, learning, and student support use cases. This is a hands-on, high-impact role. You’ll work directly with product managers, learning designers, university stakeholders, and engineers to translate operational and pedagogical goals and business requirements into agent behavior — and you’ll build the evaluation frameworks to prove that behavior is working. As a Prompt Systems Engineer, you will: Prompt Design Engineering Write, iterate, and maintain system prompts and instruction sets for Noodle’s AI agents focused on students enrollment, learning, and retention Translate complex educational and operational requirements into clear, reliable agent behavior — including persona definition, tone, scope constraints, fallback handling, and multi-turn conversation logic Design prompt architectures for multi-step and chained agent workflows, including RAG-augmented agents that draw from program-specific knowledge bases Collaborate with the engineering team to configure and deploy agents through Noodle’s AI orchestration platform, including primary prompts, secondary context, knowledge base attachments, and embed definitions Create the learner experiences defined by “three-way” chat between the learner, a campus or Noodle support staff member, and that staff member’s AI assistant Evaluation Quality Build and maintain evaluation frameworks to measure agent accuracy, tone, hallucination rate, task completion, and alignment with rubric-based learning objectives Use Langfuse (Noodle’s LLM observability platform) to monitor prompt performance in production, identify regressions, and prioritize prompt improvements Design red-teaming and adversarial testing protocols to surface edge cases and failure modes before agents reach students Establish prompt versioning practices and maintain a library of tested, reusable prompt components Collaboration Enablement Partner with Noodle teammates and university stakeholders to design, build, and test agents — translating learning objectives, operational flows, rubric assessments, and more into prompt-level agent instructions Work with enrollment and student success teams to tune companion agents for specific programs and university partner contexts Contribute prompt engineering guidelines and best practices documentation for internal teams who configure their own agents on Noodle’s AI orchestration platform Stay current with model capability changes across OpenAI, Anthropic, and other providers integrated into Noodle’s stack, and proactively surface opportunities or risks Perform other duties as assigned You have: 2+ years of experience designing and iterating on prompts for LLM-powered applications in a production environment Deep familiarity with prompt patterns: few-shot examples, chain-of-thought, system vs. user roles, output formatting constraints, tool-use prompting, and RAG integration Strong written communication — you can write clearly, precisely, and persuasively, because that’s the core of the job Experience building and running prompt evaluations: defining metrics, writing test cases, and interpreting results to make improvement decisions Comfort working across disciplines — you can hold a conversation with an engineer about context windows and with a faculty member about Bloom’s Taxonomy Experience with LLM observability tools (Langfuse, Weights Biases, or similar) Familiarity with LTI (Learning Tools Interoperability) and how AI tools plug into LMS platforms like Moodle, Canvas, or Instructure Experience with voice agents or multimodal prompting Comfort reading and writing basic code (JavaScript, Python) to support prompt automation and testing pipelines Knowledge of OpenAI, Anthropic, or other model provider APIs Ability to thrive in ambiguity and iterate quickly based on user feedback Ability to work effectively in dynamic, rapidly changing, team-based environment At Noodle, we hire people who will help us change the future of education. Even if you don't think you check off every bullet point on this list, we still encourage you to apply! We value both current experience and future potential. Meet the team! We’re looking for a Prompt Systems Engineer to sit at the intersection of AI capability and educational effectiveness. You will own the design, testing, and continuous improvement of the prompts and system instructions that power Noodle’s AI agents across enrollment, learning, and student support use cases. This is a hands-on, high-impact role. You’ll work directly with product managers, learning designers, university stakeholders, and engineers to translate operational and pedagogical goals and business requirements into agent behavior — and you’ll build the evaluation frameworks to prove that behavior is working. As a Prompt Systems Engineer, you will: Prompt Design Engineering Write, iterate, and maintain system prompts and instruction sets for Noodle’s AI agents focused on students enrollment, learning, and retention Translate complex educational and operational requirements into clear, reliable agent behavior — including persona definition, tone, scope constraints, fallback handling, and multi-turn conversation logic Design prompt architectures for multi-step and chained agent workflows, including RAG-augmented agents that draw from program-specific knowledge bases Collaborate with the engineering team to configure and deploy agents through Noodle’s AI orchestration platform, including primary prompts, secondary context, knowledge base attachments, and embed definitions Create the learner experiences defined by “three-way” chat between the learner, a campus or Noodle support staff member, and that staff member’s AI assistant Evaluation Quality Build and maintain evaluation frameworks to measure agent accuracy, tone, hallucination rate, task completion, and alignment with rubric-based learning objectives Use Langfuse (Noodle’s LLM observability platform) to monitor prompt performance in production, identify regressions, and prioritize prompt improvements Design red-teaming and adversarial testing protocols to surface edge cases and failure modes before agents reach students Establish prompt versioning practices and maintain a library of tested, reusable prompt components Collaboration Enablement Partner with Noodle teammates and university stakeholders to design, build, and test agents — translating learning objectives, operational flows, rubric assessments, and more into prompt-level agent instructions Work with enrollment and student success teams to tune companion agents for specific programs and university partner contexts Contribute prompt engineering guidelines and best practices documentation for internal teams who configure their own agents on Noodle’s AI orchestration platform Stay current with model capability changes across OpenAI, Anthropic, and other providers integrated into Noodle’s stack, and proactively surface opportunities or risks Perform other duties as assigned You have: 2+ years of experience designing and iterating on prompts for LLM-powered applications in a production environment Deep familiarity with prompt patterns: few-shot examples, chain-of-thought, system vs. user roles, output formatting constraints, tool-use prompting, and RAG integration Strong written communication — you can write clearly, precisely, and persuasively, because that’s the core of the job Experience building and running prompt evaluations: defining metrics, writing test cases, and interpreting results to make improvement decisions Comfort working across disciplines — you can hold a conversation with an engineer about context windows and with a faculty member about Bloom’s Taxonomy Experience with LLM observability tools (Langfuse, Weights Biases, or similar) Familiarity with LTI (Learning Tools Interoperability) and how AI tools plug into LMS platforms like Moodle, Canvas, or Instructure Experience with voice agents or multimodal prompting Comfort reading and writing basic code (JavaScript, Python) to support prompt automation and testing pipelines Knowledge of OpenAI, Anthropic, or other model provider APIs Ability to thrive in ambiguity and iterate quickly based on user feedback Ability to work effectively in dynamic, rapidly changing, team-based environment At Noodle, we hire people who will help us change the future of education. Even if you don't think you check off every bullet point on this list, we still encourage you to apply! We value both current experience and future potential. Meet the team! Noodle Africa Benefits: Work from the comfort of your home office! Great compensation package Tools you need on us! Laptop (Mac is our computer of choice) and EcoFlow inverter 12 weeks paid Parental Leave benefits 20 working days annual leave + 10 paid national holidays Medical/RA benefit Internet benefits Full access to our employee assistance program (EAP) through Company Wellness Annual education stipend for lifelong learning Eligibility Requirements: This position is based in South Africa. Applicants must be legally authorized to live and work in South Africa and must maintain residency within South Africa throughout their employment. Proof of eligibility and residency will be required upon hiring. At Noodle, we hire people who will help us change the future of online education. Even if you don't think you check off every bullet point on this list, we still encourage you to apply! We value both current experience and future potential. Noodle is committed to creating a welcoming and inclusive workplace for everyone. We value and celebrate our differences because those differences are what make our team shine. We hire great people from different backgrounds, not just because it's the right thing to do, but because it makes us stronger as a whole. Women, people of color, LGBTQIA2S+ individuals, and members of other underrepresented groups are strongly encouraged to apply. Noodle is an equal opportunity employer and does not discriminate against candidates on the basis of race, ethnicity, religion, sex, gender, sexual orientation, gender identity, disability status, or veteran status.

Posted 2 days ago

Caravel BPM Technology Solutions – where caring and community is in our company DNA, we are always striving to be our best selves and we’re compelled to ask the questions that lead to innovation. As a Managed Services NetSuite Consultant, you will lead and understand a client’s subscription terminology, gather requirements, configure, test, and walk the client through end-to-end processes and train end users. Industry experience in the software and services verticals are preferred. Our team of consultants is a smart and friendly team who enjoy working together in a collaborative and supportive work environment. Working with Caravel BPM means using your experiences, broadening your skills, and reaching your full potential in work and life—while also making a positive difference for your clients, colleagues, and communities. Our shared entrepreneurial spirit drives us to see and do things differently. Our passion for people makes BPM a place where everyone feels welcome, valued, and part of something bigger. Because People Matter. BPM India Advisory Service Private Limited - Formerly known as “Burr Pilger Mayer India Private Limited”. (BPM India) is a subsidiary of BPM LLP. Founded in 1986, BPM is one of the largest California-based accounting and consulting firms, ranking in the top 50 in the country. With 17 different office locations, BPM serves emerging and mid-cap businesses as well as high-net-worth individuals in a broad range of industries, including financial services, technology, life science, manufacturing, food, wine and craft brewing, automotive, nonprofits, real estate and construction. The Firm’s International Tax Practice is one of the largest on the West Coast and its well-recognized SEC practice serves approximately 35 public reporting companies, mostly in the technology industry. Caravel BPM Technology Solutions – where caring and community is in our company DNA, we are always striving to be our best selves and we’re compelled to ask the questions that lead to innovation. As a Managed Services NetSuite Consultant, you will lead and understand a client’s subscription terminology, gather requirements, configure, test, and walk the client through end-to-end processes and train end users. Industry experience in the software and services verticals are preferred. Our team of consultants is a smart and friendly team who enjoy working together in a collaborative and supportive work environment. Working with Caravel BPM means using your experiences, broadening your skills, and reaching your full potential in work and life—while also making a positive difference for your clients, colleagues, and communities. Our shared entrepreneurial spirit drives us to see and do things differently. Our passion for people makes BPM a place where everyone feels welcome, valued, and part of something bigger. Because People Matter. BPM India Advisory Service Private Limited - Formerly known as “Burr Pilger Mayer India Private Limited”. (BPM India) is a subsidiary of BPM LLP. Founded in 1986, BPM is one of the largest California-based accounting and consulting firms, ranking in the top 50 in the country. With 17 different office locations, BPM serves emerging and mid-cap businesses as well as high-net-worth individuals in a broad range of industries, including financial services, technology, life science, manufacturing, food, wine and craft brewing, automotive, nonprofits, real estate and construction. The Firm’s International Tax Practice is one of the largest on the West Coast and its well-recognized SEC practice serves approximately 35 public reporting companies, mostly in the technology industry. Job Summary: As an AI Prompt Engineer at Caravel, you'll build the production layer of our AI practice — the prompts, prompt chains, and LLM-driven components that power client solutions and the internal accelerators our consultants rely on. You'll partner with our AI Specialists to turn solution designs into reliable, evaluated, production-ready builds. This is a hands-on build role for someone who cares about getting model behavior right, not just getting it to run. Key Responsibilities: Design, build, test, and iterate on prompts and prompt chains for production LLM workflows across client delivery and internal automation. Implement evaluation harnesses, guardrails, and regression tests so output quality is measurable and stays stable over time. Integrate LLM components with business systems and data — APIs, retrieval/RAG pipelines, and structured outputs. Partner with AI Specialists to convert solution designs into production builds, and document patterns for reuse. Tune for accuracy, cost, latency, and safety against real evaluation data — not vibes. Grow Caravel's library of reusable AI accelerators. Preferred Qualifications 2+ years building software or AI/LLM components, including hands-on experience crafting and iterating prompts for real applications. Working knowledge of LLM fundamentals: context windows, few-shot prompting, function/tool calling, structured outputs, and RAG basics. Proficiency in Python (or similar) and comfort with APIs, JSON, and version control (Git). A test-and-measure mindset — you evaluate output quality, you don't eyeball it. Clear written English and strong documentation habits. Ability to collaborate across time zones with an onshore/nearshore team. Preferred Skills: Experience with evaluation frameworks (e.g., promptfoo, Ragas, or custom eval harnesses). Familiarity with embeddings, vector databases, and retrieval pipelines. Exposure to ERP/CRM ecosystems (NetSuite, Salesforce) or business-process automation. Experience with agentic frameworks and orchestration.

Posted 4 weeks ago

Intangible.ai, a spatial intelligence company, focuses on advancing 3D generative AI for various industries. The company seeks a creative Applied AI/Machine Learning Engineer to design AI assistants that enhance interactive 3D workflows. Ideal candidates will have software development expertise and experience with NLP and ML frameworks. Intangible fosters an interdisciplinary environment with opportunities for significant contributions to unique products.

Posted 4 weeks ago

Fieldwire is seeking an AI/ML Engineer to enhance construction site documentation through 360° video capture and AI-driven insights. The ideal candidate will leverage machine learning models to turn data into actionable intelligence, enabling better job site understanding and collaboration. Responsibilities include developing AI solutions, maintaining data quality, and deploying models in a cloud environment. A strong background in machine learning, computer vision, and deep learning frameworks is essential. The estimated salary for this role is between $152,000 and $220,000, reflecting various factors like location and experience.

Posted 1 week ago

About Air Apps At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. The Role As an AI/ML Engineer , you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry. This is a fully onsite position , based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Responsibilities Develop, train, and optimize machine learning models for various mobile app features. Research and implement state-of-the-art AI techniques to improve user engagement and app performance. Collaborate with cross-functional teams to integrate AI-driven solutions into our applications. Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring. Analyze large datasets to derive insights and drive data-driven decision-making. Stay updated with the latest AI trends and best practices, incorporating them into our development processes. Optimize AI models for mobile environments to ensure high performance and low latency. Requirements Around 4+ years of experience in AI/ML development, preferably in mobile applications. Proficiency in Python , TensorFlow , PyTorch , or other ML frameworks. Experience with deep learning, NLP, computer vision , and statistical modeling. Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure). Strong understanding of data structures, algorithms, and software engineering best practices . Experience in deploying and maintaining ML models in production . Ability to work collaboratively in a remote team environment. Strong problem-solving skills and a passion for innovation. What benefits do we offer? Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. Diversity Inclusion At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. Application Disclaimer At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

Posted 1 week ago

Job Title: AI/ML Engineer Location: India (Offshore) Experience: 3–6 Years Role Type: Remote / Offshore About the Role We are looking for a hands-on AI/ML Engineer to design, develop, and productionize machine learning and Generative AI solutions for real-world business use cases. The ideal candidate should have strong experience in Python, machine learning, deep learning, LLMs, RAG, and MLOps , along with recent hands-on experience delivering Generative AI solutions in production environments. Key Responsibilities Design, develop, train, fine-tune, and evaluate machine learning and LLM-based solutions . Build and maintain end-to-end ML/AI pipelines, covering data ingestion, processing, model development, inference, deployment, and monitoring . Develop and implement Generative AI applications , including LLM-powered solutions and RAG-based systems. Apply prompt engineering, context engineering, and LLM fine-tuning techniques to improve model performance and reliability. Design and implement solutions using vector databases, embeddings, and retrieval-augmented generation (RAG) architectures. Collaborate with Solution Architects, Data Scientists, and engineering teams to translate business requirements into scalable AI/ML solutions. Optimize models and AI applications for accuracy, latency, scalability, and cost efficiency . Implement model evaluation, guardrails, observability, and monitoring for production AI/ML systems. Follow MLOps best practices, including model versioning, CI/CD, deployment automation, and model lifecycle management . Stay current with emerging developments in Generative AI, LLMs, AI engineering, and machine learning technologies . Required Skills Experience 3–6 years of hands-on experience in Machine Learning Engineering or a closely related role. Strong proficiency in Python . Experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, and scikit-learn . Hands-on experience with Generative AI and LLM-based applications . Experience with LLM fine-tuning, prompt engineering, and context engineering . Strong understanding of RAG architectures, embeddings, vector databases, and semantic search . Experience building and deploying production-grade ML/AI pipelines . Working knowledge of MLOps practices , including model versioning and CI/CD for machine learning workloads. Experience with at least one major cloud-based ML platform: AWS SageMaker Azure Machine Learning Google Cloud Vertex AI Strong understanding of model evaluation, performance optimization, and production monitoring. Ability to work collaboratively with cross-functional technical teams and translate business requirements into practical AI/ML solutions. Nice to Have Experience working on AI/ML solutions in regulated or highly sensitive domains , such as healthcare or government technology. Experience with multi-agent AI systems and orchestration frameworks . Experience with LLM evaluation frameworks and AI observability tools. Familiarity with containerization and cloud-native technologies such as Docker and Kubernetes . Experience working with APIs, microservices, and scalable AI application architectures. What We’re Looking For Strong hands-on engineering mindset with the ability to take AI/ML solutions from prototype to production . Practical experience solving real-world problems using Machine Learning and Generative AI . Ability to evaluate different models and approaches based on accuracy, performance, scalability, and cost . Strong problem-solving and communication skills. Ability to work effectively in a fast-paced, collaborative environment. About ISHIR ISHIR is a digital innovation and enterprise AI services provider. We work with startups and enterprises to shape the future through accelerated innovation, deep technical expertise, access to global digital talent and a passion for complex problem-solving. With our help, our clients overcome their most difficult digital challenges leveraging AI. We are not just consultants, we are partners in our clients’ success, assisting them with re(gaining) competitive edge by identifying opportunities for differentiation, industry disruption, scalable innovation, and go-to-market strategies that deliver successful outcomes. At ISHIR, we help bold businesses accelerate innovation through Talent, Speed-to-Market, and AI. We help make an impact by solving real problems using innovation, improved customer experiences and the right technologies. As an ISHIR employee, you will get the advanced training you need to be successful, and the opportunity to apply it. You must be passionate about technology, crave responsibility, and be eager to apply your knowledge to real business solutions for our startup and enterprise customers. These are the qualities of a person destined for success at ISHIR. ISHIR attracts a special type of individual—someone who is proactive, thrives on challenges, feeds off success, and looks at moving targets not as obstacles but as opportunities. ISHIR is an exciting place to work. It is imbued with an entrepreneurial spirit and promotes self-reliance, open communication, and collaboration.

Posted 3 weeks ago

Job Title: AI/ML Engineer Department: IT Services Reports To: IT Project Manager Job Overview: The AI/ML Engineer plays a critical role in designing, developing, and deploying machine learning models and AI-driven solutions to support strategic business initiatives. The role involves collaborating with cross-functional teams, including software engineering, data analytics, product development, and business stakeholders, to drive intelligent automation, data-driven decision-making, and advanced analytics capabilities. The ideal candidate will have 3 to 5 years of experience in AI/ML model development, with a strong foundation in machine learning algorithms, data preprocessing, and deployment pipelines. Experience with Python, TensorFlow/PyTorch, and cloud-based ML services is essential. Responsibilities: 1. Model Development and Optimization Design, build, and deploy ML models for classification, regression, NLP, computer vision, or time-series forecasting. Select appropriate algorithms and techniques based on business needs and data characteristics. Continuously monitor and improve model performance using metrics and feedback loops. 2. Data Preparation and Feature Engineering Clean, preprocess, and transform structured and unstructured datasets for training and inference. Engineer and select relevant features to improve model accuracy and generalizability. Collaborate with data engineers to ensure data quality and accessibility. 3. Model Deployment and MLOps Package and deploy models using tools like Docker, Flask/FastAPI, and Kubernetes. Implement CI/CD pipelines for ML using platforms like MLflow, Airflow, or Kubeflow. Monitor deployed models for drift, latency, and performance in production environments. 4. AI Solutions and Use Case Implementation Work with business stakeholders to translate real-world problems into AI/ML use cases. Prototype and test AI-driven solutions (e.g., recommendation engines, chatbots, fraud detection). Contribute to proof-of-concept projects and assist in scaling successful models to production. 5. Research and Innovation Stay updated with the latest research, frameworks, and tools in machine learning and AI. Experiment with cutting-edge models (e.g., LLMs, transformers, generative AI) and assess their viability. Promote innovation by recommending and implementing modern AI strategies. 6. Cross-functional Collaboration Collaborate with software developers, DevOps, data analysts, and domain experts for end-to-end solution delivery. Translate technical insights into business value through clear documentation and presentations. 7. Documentation and Best Practices Maintain comprehensive documentation for models, experiments, and pipelines. Ensure reproducibility, scalability, and compliance with data governance policies. Requirements: Experience: 3–5 years of hands-on experience in machine learning model development and deployment. Proven track record of solving real-world problems using supervised, unsupervised, or deep learning methods. Technical Skills: Strong knowledge of: Python and ML libraries (scikit-learn, pandas, NumPy, TensorFlow/PyTorch) Model evaluation, hyperparameter tuning, and pipeline automation REST APIs for model serving and integration Familiarity with: MLOps tools (MLflow, Airflow, DVC, Docker, Kubernetes) Cloud ML services (AWS SageMaker, Azure ML, GCP AI Platform) NLP or computer vision frameworks (e.g., Hugging Face, OpenCV) Soft Skills: Strong analytical and problem-solving abilities. Excellent communication skills, both verbal and written. Ability to work independently and within cross-functional teams. Curiosity, adaptability, and willingness to learn continuously.

Posted 4 weeks ago

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. #xa; #xa; Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below. Responsibilities Design, develop, and deploy AI-driven applications that transform large-scale geospatial data into actionable insights and predictive intelligence. Build and operate end-to-end AI/ML pipelines including data ingestion, preprocessing, feature engineering, training, evaluation, and production inference. Productionize reasoning models, vision-language models (VLMs), and multimodal AI systems that combine imagery, geospatial signals, and structured data. Architect enterprise-grade training and experimentation frameworks , including automated pipelines, experiment tracking, benchmarking, and reproducible evaluation. Create synthetic datasets and test harnesses to validate model performance, robustness, and edge-case behavior in real-world operational environments. Work closely with domain experts, software engineers, product managers, and research partners to translate complex Earth intelligence challenges into deployable AI solutions. Optimize models and inference systems for scalability, latency, cost efficiency, and reliability on modern cloud infrastructure. Implement and maintain production inference systems , including monitoring, model versioning, retraining workflows, and performance tracking. Stay current with the latest advances in foundation models, generative AI, multimodal learning, and reasoning systems , and translate research breakthroughs into practical systems. Maintain high engineering standards through code reviews, documentation, experimentation discipline, and collaborative problem solving . Help shape the next generation of Earth AI capabilities through collaboration with leading research organizations and technology partners. Minimum Qualifications MS or PhD in Computer Science, Machine Learning, Artificial Intelligence, Applied Mathematics, or a related technical field , or equivalent practical experience. 5+ years of experience building and deploying machine learning systems in production environments. Demonstrated experience designing and delivering end-to-end ML pipelines , including data processing, training automation, evaluation frameworks, and scalable inference. Hands-on experience developing and deploying deep learning models , particularly in one or more of the following areas: Vision-language models (VLMs) Multimodal learning Reasoning models Large language models (LLMs) Computer vision or geospatial AI Strong programming skills in Python , with experience using modern ML frameworks such as PyTorch, TensorFlow, or JAX . Experience building reproducible experimentation pipelines , including model evaluation, dataset versioning, and experiment tracking. Experience deploying models into production environments using modern cloud infrastructure and containerized systems. Familiarity with distributed training, large-scale data processing, and model optimization techniques . Ability to collaborate across research, engineering, and product teams to bring advanced AI capabilities into real-world applications. Preferred Qualifications Experience working with geospatial data, remote sensing, satellite imagery, or Earth observation systems . Experience building or fine-tuning foundation models, multimodal models, or agentic AI systems . Familiarity with Google Cloud Platform (GCP) , including large-scale AI/ML infrastructure. Experience implementing model monitoring, evaluation pipelines, and automated retraining systems . Contributions to open-source AI projects, research publications, or patents . Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate’s experience, expertise, and alignment with the role. ● The base pay for this position within Colorado is: $128,000.00 - $170,000.00 - $187,000.00 annually. ● The base pay for this position within New Jersey is: $128,000.00 - $170,000.00 - $187,000.00 annually. ● The base pay for this position within Delaware is: $128,000.00 - $170,000.00 - $187,000.00 annually. ● The base pay for this position within the Washington, DC metropolitan area is: $140,000.00 - $187,000.00 - $205,700.00 annually. ● The base pay for this position within California is: $147,000.00 - $196,000.00 - $215,600.00 annually. For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range. Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions. The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire. The date of posting can be found on Vantor's Career page at the top of each job posting. To apply, submit your application via Vantor's Career page. EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

Posted 3 weeks ago

About Us: EvolutionIQ’s mission is to deliver state of the art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026! About You: As an ambitious AI / ML Engineer, you will play a key role in advancing our industry-leading medical synthesis product. You take strong ownership of your work and have a proven track record of leading projects end-to-end, from ideation and requirements gathering through architecture, implementation, deployment, and iteration. You are comfortable operating with a high degree of autonomy, making thoughtful architectural and technical decisions, and helping guide the direction of AI/ML solutions across the product. Thriving in a fast-paced startup environment, you stay current with the latest AI and machine learning research. You’re passionate about applying hybrid approaches that combine large language models (LLMs), statistical machine learning techniques, and retrieval-augmented generation (RAG) with embeddings-based models to deliver better, more reliable outcomes for our users. In this Role You Will: Lead AI/ML projects end-to-end, taking ownership from initial ideation and requirements gathering through architecture, development, deployment, and ongoing optimization Make high-level architectural and technical decisions for AI/ML systems, balancing scalability, performance, reliability, maintainability, and business impact Design, build, and deploy AI-powered and LLM-driven features for our claim synthesis product, including robust extraction of key information from complex medical documents and human-in-the-loop summarization workflows Develop and implement hybrid machine learning solutions that leverage statistical models, LLMs, and embeddings-based retrieval techniques such as RAG to improve system accuracy, scalability, and robustness Write clean, scalable, and efficient code while optimizing the performance of existing AI/ML systems in production Collaborate closely with data labelers and subject matter experts (SMEs) to rigorously evaluate AI system outputs and continuously improve model performance Partner closely with Product, Engineering, and other cross-functional teams to gather requirements, define technical approaches, prioritize work, and rapidly iterate on feedback Provide technical leadership and guidance to other engineers, helping establish best practices and driving consistency across AI/ML solutions Break down complex, ambiguous problems into well-defined technical solutions and drive projects forward while balancing short-term delivery with long-term architectural considerations Translate cutting-edge AI/ML research and novel techniques into production-grade, reliable, and maintainable solutions that operate seamlessly in live customer environments Skills Requirements: 5-8+ years of experience writing performant Python code following modern best practices Minimum 1 year of experience building and deploying products powered by large language models (LLMs) in fast-paced, professional environments Proven experience leading technical projects and driving them from concept through production deployment Experience making architectural decisions for AI/ML systems and evaluating technical tradeoffs across scalability, reliability, performance, and maintainability Hands-on experience with statistical machine learning techniques as well as hybrid approaches combining LLMs, retrieval-augmented generation (RAG), and embeddings-based models, including vector search and similarity measures Proven ability to build and integrate API services within service-oriented or microservice architectures Strong skills in evaluating and interpreting LLM outputs and AI model predictions, with a focus on aligning model behavior with real-world business and user outcomes Expertise in prompt engineering and fine-tuning of large language models for domain-specific applications Strong communication and collaboration skills, with the ability to influence technical direction and work effectively with Product, Engineering, SMEs, and other stakeholders Bonus Points: Experience translating state-of-the-art AI/ML research into production code Comfortable collaborating with data labelers and subject matter experts to improve training data and evaluation processes Experience building agentic or autonomous AI systems in production Background working with multimodal data (e.g., images, audio) Experience mentoring engineers or providing technical leadership across projects or teams Work-life, Culture Perks: Compensation: The base salary range is $200-235K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package. Well-Being: Medical, dental, vision, short long-term disability, life insurance and AD D, and 401k matching. Additional family, wellness, and pet benefits. Home Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work. Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend. Growth Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement. Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer. EvolutionIQ appreciates your interest in our company as a place of employment. EvolutionIQ is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Posted 1 week ago

About Air Apps At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. The Role As an AI/ML Engineer , you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry. This is a fully onsite position , based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Responsibilities Develop, train, and optimize machine learning models for various mobile app features. Research and implement state-of-the-art AI techniques to improve user engagement and app performance. Collaborate with cross-functional teams to integrate AI-driven solutions into our applications. Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring. Analyze large datasets to derive insights and drive data-driven decision-making. Stay updated with the latest AI trends and best practices, incorporating them into our development processes. Optimize AI models for mobile environments to ensure high performance and low latency. Requirements Around 4+ years of experience in AI/ML development, preferably in mobile applications. Proficiency in Python , TensorFlow , PyTorch , or other ML frameworks. Experience with deep learning, NLP, computer vision , and statistical modeling. Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure). Strong understanding of data structures, algorithms, and software engineering best practices . Experience in deploying and maintaining ML models in production . Ability to work collaboratively in a remote team environment. Strong problem-solving skills and a passion for innovation. What benefits do we offer? Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. Diversity Inclusion At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. Application Disclaimer At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

Posted 1 week ago

Join Cable One as a Senior AI/ML Engineer, where you'll be the technical authority for AI/ML platforms and agent architecture. In this role, you'll design reusable architectural patterns and provide technical mentorship within Network Intelligence. You'll partner with other engineers, review complex designs, and establish standards for context engineering and human-in-the-loop approval processes. Candidates should have a strong background in AI/ML, Python, and relevant experience in software and platform engineering. This remote position offers a collaborative work environment and an excellent benefits package.

Posted 1 week ago

What You'll Do Embed with customers (onsite or remote) to deeply understand their technical stack, data structures, and business workflows Design, build, and deploy custom solutions, integrations, and workflows on top of our platform to solve high-value customer problems Write production-quality code - APIs, data pipelines, scripts, internal tools - tailored to each customer's environment Act as the technical bridge between customers and the core product/engineering team, translating field learnings into product requirements and roadmap input Rapidly prototype solutions during discovery, then harden them into scalable, maintainable systems Debug and resolve complex technical issues across the customer's infrastructure and our own platform Partner with sales and customer success teams during pre-sales technical evaluations, POCs, and pilots Identify patterns across customer engagements that reveal opportunities for new product features or platform capabilities Travel to customer sites as needed (varies by role/region) What We're Looking For 4+ years of experience as a software engineer, solutions engineer, or similar hands-on technical role Strong coding ability in at least one modern language (Python, TypeScript/JavaScript, Go, Java, etc.) and comfort working across the stack Experience with databases, APIs, and data integration/ETL patterns Demonstrated ability to work independently in ambiguous, fast-changing environments with limited specs Strong communication skills - able to explain technical tradeoffs to both engineers and business stakeholders Customer-facing experience or a strong desire to work directly with customers, not just behind a ticket queue A builder's mindset: comfortable going from whiteboard to working prototype to production system Willingness to travel (typically 20–50%, depending on team and customer base) Nice to Have Experience with cloud infrastructure (AWS/GCP/Azure) and containerization (Docker/Kubernetes) Background in a regulated or complex enterprise environment (finance, healthcare, government, logistics) Prior experience at a startup in a customer-facing technical role Familiarity with our specific domain (e.g., data infra, AI/ML, security) Why This Role Is Different FDEs get unusually direct exposure to real customer problems and unusually direct influence on product direction. If you like the idea of shipping code that a customer uses within days - not quarters - and want your engineering work to be tightly coupled to business impact, this role is built for that.

Posted 2 weeks ago

AI/ML Engineer III Technergetics — Utica/Rome, NY area A Note About Our AI-Assisted Interview Process We use an AI application, “Alex Taylor,” to conduct first-round interviews for this position. The interview takes approximately 35 minutes. If we would like to interview you, you will receive an email invitation from “Alex” within ten business days of your application. Alex is available 24/7, which lets us conduct far more first-round interviews than our human staff's schedule alone would allow. Technergetics HR (and additional staff, as applicable) reviews every first-round interview. AI supports our decision-making, but all decisions about who advances to a first or second interview are made by our human staff. Candidates selected for a second-round interview will meet with the HR director and hiring manager. Any data collected during the interview process, including AI-generated insights, is handled with care and confidentiality, in compliance with applicable data protection laws. Your responses are processed only to provide feedback on your skills and knowledge. Data is stored securely and will not be shared with third parties without your consent. We understand some candidates may be hesitant to interview with an AI application — it is by no means perfect at this time. But as a company dedicated to research and development in AI/ML and other technologies, we see this as a chance to practice what we preach. Opportunity Overview Technergetics is looking for an AI/ML Engineer III to design, develop, and deploy advanced AI capabilities alongside a high-performing team of full-stack developers. This role centers on building production systems around foundation models, including agentic workflows, retrieval-augmented generation, and multimodal machine learning, for demanding government and commercial customers. Contingent Position : This position is contingent upon contract award and funding. Position Details Salary Range: $125,000–$175,000 annually. The final offer depends on how many position qualifications the candidate meets, as well as education and experience. This is a full-time, exempt position. Location, Travel, and Remote Work Candidates who are located within, or relocate to, a commutable distance of the Utica/Rome area can expect to be onsite 20% of their workweek, for access to company and AFRL (Air Force Research Lab) facilities, secure data, and customers. A relocation signing bonus may be available. Remote candidates outside a commutable distance to Utica/Rome will still be considered but may need to travel to the Utica/Rome area quarterly or more often, depending on company and client needs. This position also involves approximately 5%–10% travel to customer and client sites outside the Utica-Rome, NY area. Due to the security clearance required for this position, only U.S. citizens are eligible to apply, per Executive Order 12968 (Access to Classified Information). Responsibilities and Duties The successful candidate will work on one or more of our Machine Learning (ML) software products, with day-to-day activities that include: Leading the design, development, and deployment of multi-modal machine learning architectures, including models and algorithms, to solve complex mission and business problems Designing and building agentic systems on top of large language models for operational deployment Implementing retrieval-augmented generation pipelines that ground model outputs against authoritative data sources Defining and running evaluation for model and agent behavior in production Optimizing model inference for production and edge/DDIL (denied, degraded, intermittent, and limited bandwidth) deployment scenarios Applying AI assurance practices and documenting model limitations to support accreditation and customer review Integrating state-of-the-art machine learning libraries, foundation models, and agent frameworks into existing software applications Developing and maintaining data pipelines and supporting software for collecting, preprocessing, and transforming data for machine learning tasks Designing software solutions, algorithms, and cloud architectures needed to satisfy product features and functionality defined by the product owner and other stakeholders in a production environment Leading, coaching, and mentoring junior data scientists, engineers, and other staff Contributing to phases of the software development life cycle, including functional analysis, technical requirements, technical design, prototyping, coding, testing, deployment, data migration, and support Participating in daily scrums and working with the scrum master and scrum team to organize and prioritize workload through story-pointing, supporting delivery timelines and priorities Collaborating with cross-functional teams to understand business requirements and translate them into machine learning solutions Performing unit testing and debugging to identify and fix software defects, and contributing to code reviews with constructive feedback to peers Staying current on new AI/ML approaches, frameworks, and industry trends Serving as an AI subject matter expert for small teams of researchers and engineers on advanced R D projects funded by government and/or commercial customers, and contributing to or leading proposal writing for new opportunities within your area of expertise Education and Certifications This position generally requires a Master’s degree from an accredited college or university in computer science, computer engineering, artificial intelligence, machine learning, or a closely related discipline. A Ph.D. in one of these fields is strongly preferred. A Bachelor’s degree in one of these fields, combined with seven or more years of directly relevant professional experience, will be considered in lieu of a Master’s degree. Qualifications Experience and Foundational Engineering At minimum, three years of professional experience in machine learning or AI systems engineering, including at least one year building with large language models or other foundation models in a production setting Strong proficiency in Python, including asynchronous programming and modern packaging and dependency management Working knowledge of server-side development (API definitions, REST services, streaming and asynchronous services, etc.) Fluency with containerization and deployment frameworks such as Kubernetes or Docker, including GPU scheduling and resource management for training and inference workloads Hands-on work with at least one major cloud platform (AWS, Azure, or Google Cloud) Comfort with Linux platforms and command-line environments Familiarity with Continuous Delivery/Continuous Integration (DevSecOps, GitLab Pipelines, etc.) Proficiency with automated testing in Python (pytest), including regression suites for non-deterministic model and agent behavior Artificial Intelligence and Machine Learning Demonstrated ability to train and deploy machine learning models with PyTorch and the Hugging Face ecosystem (transformers, datasets, accelerate) A track record of building applications on top of large language models, including prompt engineering, structured output, and context management Fluency with agentic frameworks and patterns such as LangGraph, LangChain, CrewAI, AutoGen, Pydantic AI, or vendor agent SDKs, including multi-step tool use, planning, memory, and state management, and with integrating models, tools, and data sources through open standards such as Model Context Protocol (MCP) Practical command of retrieval-augmented generation, including chunking and embedding strategy, vector databases (pgvector, Milvus, Qdrant, Weaviate, FAISS), and hybrid or re-ranked retrieval Ability to design and run LLM evaluation, including task-specific benchmarks, golden datasets, LLM-as-judge methods, and tracing and observability tooling (LangSmith, Langfuse, Arize, Weights Biases) Command of model adaptation techniques including fine-tuning, LoRA/PEFT, quantization, and distillation, and the judgment to know when adaptation is preferable to prompting or retrieval Proven ability to serve models in production with inference frameworks such as vLLM, TensorRT-LLM, Triton Inference Server, Ollama, or ONNX Runtime, including latency, throughput, and cost tradeoffs, as well as deployment to edge or resource-constrained environments, including on-device inference Grounding in AI safety and assurance practices, including guardrails, input and output filtering, prompt injection mitigation, and human-in-the-loop design Direct work with multimodal models and cross-modal embedding across text, imagery, video, audio, or geospatial data Leadership and Collaboration Demonstrated leadership on technical tasks and/or technical teams, including Agile software development and leading one or more tasks to completion Excellent communication and teamwork skills, including the ability to explain technical tradeoffs to non-technical stakeholders and customers Nice to Have Exposure to DoD cloud and software factory environments such as Platform One, BESPIN, AF Cloud One, DAF CLOUDworks, or AWS GovCloud, and with ATO and RMF processes at IL4/IL5 Familiarity with DoD and federal AI policy and governance, including CDAO Responsible AI guidance Work with distributed training frameworks and schedulers (DeepSpeed, FSDP, Ray, Slurm) Knowledge of knowledge graphs, ontologies, or Resource Description Framework (RDF), particularly as applied to graph-based retrieval (GraphRAG) and grounding Background in developing modern full-stack web applications with frameworks such as Node, React, React Native, or Django Basic working knowledge of Go, Java, C++, or other compiled languages Contributions to open source AI/ML projects, or published applied AI research Clearance Selected applicants will undergo a security investigation and must meet and maintain eligibility for, at minimum, Top Secret access to classified information. Benefits Our benefits package includes health, life, disability, dental, and vision insurance, plus a 401(k) plan with a 3% company contribution and 3% company match. Additional perks include: Generous Paid Time Off, including a PTO “gift day” for your birthday 11 federal holidays per year Three weeks of paid maternity/paternity leave Annual technology allowance Referral bonuses and professional recognition awards Healthcare stipends Tuition/education reimbursement (once eligibility requirements are met) Flexible daily start and stop times for most projects and positions Company Description Technergetics is a U.S.-based company headquartered in Utica, NY, with employees and clients located throughout the country. The Utica/Rome area is a hub of cutting-edge cyber technology research, bolstered by the Griffiss Business Technology Park's tenants and facilities, including the Air Force Research Lab (AFRL). At Technergetics, we work with a wide variety of technologies, including mobile and web apps, quantum computing, machine learning and artificial intelligence, AI-enabled edge devices, and more. ⚠ Beware of Fraudulent Job Offers and Postings Technergetics will never extend an offer of employment without a thorough interview process that includes a face-to-face interview — either in person or via a virtual Teams meeting — from an official Technergetics email address (@techngs.com). If you receive correspondence from any other email address, it is a scam. Technergetics does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Posted 2 weeks ago

Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits. Overview Senior AI/ML Engineers are senior individual contributors who design, build, and deploy production-grade AI/ML systems for both client-facing and internal products. They partner with leadership and cross-functional teams to translate business needs into scalable ML and LLM-based solutions. This role does not typically include direct reports but requires strong technical leadership, mentorship, and influence across teams. Responsibilities AI/ML System Design Leadership Lead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutions Translate research and prototypes into production-ready systems Partner with stakeholders to identify high-impact AI/ML opportunities and define optimal technical approaches Provide technical mentorship and contribute to team upskilling LLM Production AI Systems Build and operate LLM pipelines, including prompt design, fine-tuning, and evaluation Develop RAG-based systems using embeddings, vector stores, and retrieval strategies Design evaluation frameworks, feedback loops, and datasets to continuously improve model performance Create reusable tooling to accelerate experimentation, deployment, and monitoring MLOps Deployment Own end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and iteration Establish best practices for reproducibility, observability, CI/CD, and model versioning Partner with platform/DevOps teams to ensure reliability and scalability Promote responsible AI practices, including governance, fairness, and transparency Cross-Functional Collaboration Lead cross-functional initiatives across data engineering, analytics, and AI/ML Translate complex ML concepts into clear recommendations for technical and non-technical audiences Collaborate with clients and internal teams to plan and deliver AI/ML solutions Contribute documentation, frameworks, and shared best practices Project Execution Scope and lead complex AI/ML initiatives aligned to business outcomes Align stakeholders and drive execution across teams Establish clear success metrics and ensure delivery of high-impact solutions Skills Qualifications 5–7 years of experience in ML engineering, AI engineering, or related fields, with production deployment experience Strong programming skills in Python and SQL; experience with PyTorch and HuggingFace Experience building LLM applications, including RAG, embeddings, and vector search Experience with cloud platforms (AWS or Azure; e.g., SageMaker, Bedrock, Azure ML) Strong understanding of ML fundamentals: data design, training, evaluation, and experimentation Familiarity with LLM alignment techniques (e.g., SFT, DPO, RL) Experience with MLOps practices: CI/CD, monitoring, retraining, and experiment tracking Proficiency working with complex, multi-source datasets and defining evaluation strategies Strong software engineering fundamentals (testing, modularity, code review) Experience mentoring engineers and influencing technical direction Strong communication skills with both technical and non-technical stakeholders Tech Stack Languages: Python, SQL Frameworks: PyTorch, HuggingFace Platforms: AWS, Azure, Snowflake, Databricks Physical Requirements Frequent sitting at a desk performing work on a computer Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Compensation Range: $150,000 - 180,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role. Core Company Values Take the Long View - Ensure the company is built to last Be Courageous - Make the right decisions even when they aren't the easiest decisions Be Genuine - Bring honesty and authenticity to all that you do Work with Focus + Passion - Display purpose and pride in your work and never stop learning As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure. At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.

Posted 2 weeks ago

Attain Talent is seeking a Lead AI/ML Engineer to lead the design, evaluation, and implementation of cutting-edge artificial intelligence and machine learning solutions supporting high-impact federal initiatives. This role is ideal for a senior technical leader who thrives at the intersection of AI, cloud engineering, and innovation, helping drive enterprise adoption of emerging technologies while mentoring engineering teams and partnering directly with federal clients. You Will Get To Lead technical evaluations of emerging AI/ML technologies through prototypes, proof of concepts, and experimentation. Analyze and communicate the benefits, tradeoffs, and implementation risks of new technologies to technical and business stakeholders. Design, develop, and deploy production-ready AI/ML applications within AWS cloud environments. Support AI/ML application development across development, operations, and security disciplines in cloud-native environments. Drive enterprise adoption of modern AI technologies and engineering best practices. Build, train, evaluate, and optimize machine learning models for production use cases. Collaborate directly with clients and cross-functional engineering teams to deliver mission-critical solutions. Provide technical leadership by mentoring engineers and supporting the professional growth of junior team members. Present technical findings, experiment results, and architectural recommendations to internal leadership and federal customers. Who You Are A technical leader who enjoys solving complex engineering and machine learning challenges. Passionate about applying AI to solve meaningful, real-world problems within the federal government. Comfortable leading technical discussions with engineers, architects, and executive stakeholders. Curious about emerging AI technologies and excited to evaluate new tools and platforms. A collaborative mentor who enjoys helping teams grow while driving technical excellence. An excellent communicator capable of translating complex technical concepts into actionable recommendations. Qualifications Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Information Systems, or a related technical field (or equivalent experience). 7–10 years of professional experience in software engineering or cloud engineering experience. At least 3 years of experience deploying production enterprise applications in AWS. At least 2 years of experience deploying production AI/ML applications in enterprise environments. Strong proficiency in Python. Experience with machine learning frameworks such as TensorFlow or PyTorch . Experience with AI/ML platforms and services including Amazon Bedrock, SageMaker, Hugging Face, Weights Biases, or similar technologies . Strong data analysis and manipulation experience using pandas. Experience visualizing and presenting experiment results using tools such as matplotlib. Experience working within AWS cloud environments . Ability to quickly learn new technologies and contribute across multiple projects. Strong analytical, communication, and problem-solving skills. Comfortable presenting technical solutions to clients and executive stakeholders. Nice to Have Experience leading or managing engineering teams. Experience mentoring software engineers or machine learning engineers. Experience with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), or AI agents. Experience deploying AI solutions using MLOps best practices. Experience with containerization technologies such as Docker and Kubernetes. Experience building CI/CD pipelines for AI/ML workloads. Familiarity with DevSecOps and secure software development practices. Experience supporting federal, highly regulated, or mission-critical environments. Client Requirements Applicants must be U.S. Citizens. Ability to obtain a Public Trust clearance. Salary We are committed to offering a competitive salary for this position, with an estimated range of $180,000 to $230,000 annually. Please note that this range is intended to provide a general idea of what to expect. The final offer may vary based on experience, skills, and other factors. Full Time Employee Benefits Remote Work (Hybrid roles will be specified in the job post) Competitive Compensation Package Medical, Dental, and Vision Life Insurance, Short/Long Term Disability Employee Assistance Program 401(k) with 4% matching Liberal PTO vacation policy Generous Annual Continuing Education Annual Wellness Budget Bonus Incentive Programs (Employee referrals and performance-based rewards) Attain Partners is committed to fair and equitable compensation practices. The individual base salary for this position is unique to each candidate and will be commensurate with experience, education, and skills. In addition to base salary, this role is eligible for an annual discretionary bonus. Interested in this position but the compensation isn’t quite right? Let us know your expectations, and we’ll see if we can make it happen based on your qualifications. Salary Range $180,000 — $230,000 USD Attain Talent is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Applicants have rights under Federal Employment Laws. For more Information visit EEO , EEO Poster Supplement , Family and Medical Leave Act (FMLA) , and Employee Polygraph Protection Act (EPPA) . If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Posted 2 weeks ago