Top AI Engineer Jobs

The Sr. AI Engineer will develop AI-driven improvements for imaging devices, implement advanced AI systems, and lead AI projects.

Lead design and implementation of agentic AI systems including RAG/GraphRAG pipelines, multi-agent architectures, and integrations across Salesforce. Build scalable back-end services, operationalize AI research into production, enforce engineering best practices, and collaborate with product, data engineering, and data science teams to improve agent performance.

The Lead AI Engineer develops AI software products, manages the AI development process, mentors engineers, and enhances product quality. Responsibilities include building models, data management, and cross-team collaboration.

The Senior AI Developer will build and deploy AI/ML solutions, optimizing performance and collaborating with business stakeholders to translate needs into structured designs.

Lead and develop advanced machine learning models for autonomous driving, collaborating with teams, and driving technical initiatives in a hybrid work environment.

The role involves developing AI-powered applications using Azure OpenAI, designing Generative AI solutions, and full stack development with Python and React to enhance internal NIH business processes.

As an AI Engineer, you'll build production-ready AI solutions, improve processes with AI insights, and collaborate with product teams to enhance platform interactions.

Develop and optimize vision-language-action models, integrating LLM-based reasoning with control policies, ensuring real-time robot interactions, and optimizing training and evaluation frameworks.

Design and optimize reinforcement learning algorithms for robot control, integrate policies into robot platforms, and collaborate across teams for hardware-software integration.

Embed with discovery teams to translate scientific workflows into production AI systems. Rapidly prototype and deploy LLM/RAG-based solutions for multi-omics problems, run evaluation loops, ensure data provenance and reliability, and distill learnings into reusable platform components to drive adoption across therapeutic areas.

Seeking a Senior Data Engineer experienced in scalable data systems and AI for our new incubator teams. Responsibilities include creating ETL pipelines and exploring AI solutions for healthcare access.

The Senior Software Engineer will help develop AI solutions to improve healthcare access, working in a hybrid model within an entrepreneurial team.

The Senior Software Engineer will explore AI solutions in healthcare, having experience in full-stack/backend development and startup culture.

Develop AI-powered features for patient care, design workflow agents, and collaborate on production AI systems to improve healthcare outcomes.

The Senior Applied AI Engineer will drive AI innovation, design pilots, enhance AI patterns, develop architectures in AWS, and communicate results effectively.

Design and prototype AI solutions for media, create content workflows, build creative assistants, develop conversational agents, and run experiments.

Design, develop, and productionize applied AI systems (RAG, LLM integrations, orchestration, agentic workflows). Ensure safe, reliable outputs with guardrails and monitoring, prototype and scale solutions, mentor engineers, collaborate cross-functionally, run experiments, and maintain testing, documentation, and production support.

Design, develop, and deploy production-grade AI/ML systems for mission customers. Build models (NLP, CV, anomaly detection), data pipelines, and operationalize models into resilient, scalable platforms within DevSecOps environments while collaborating with cross-functional teams.

The Applied AI Engineer will build and scale AI workflows in healthcare, focusing on developing agentic workflows, REST APIs, and integrating advanced LLMs for production applications.

Lead the design, development, and refinement of AI agent systems, ensuring reliability and innovation at scale, while mentoring peers and driving technical strategy.

Embed with design engineering to ensure manufacturability of new aerospace designs, lead producibility reviews, define drawing/tolerance changes, and architect and implement AI/ML solutions to augment Design for Manufacturing processes and data pipelines.

As a Senior Software Engineer at Podium, you will build and scale the Voice AI platform, design services and APIs for real-time conversations, and ensure reliability in production environments.

As an Applied AI Engineer, you will develop ML solutions for clients, optimize AI models, and collaborate with teams to meet business needs.

Design, build, and operate production-grade LLM systems and multi-agent AI workflows. Own prompt architecture, RAG pipelines, cloud-native AI infrastructure, monitoring, and reliability to deliver scalable member-facing and operational solutions.

Design, build, and productionize Generative AI applications (document intelligence, RAG, semantic search). Implement LLM fine-tuning, vector search, agentic workflows, and MLOps on GCP; collaborate with clients to translate requirements into scalable, reliable AI services.