[Remote] Senior AI ML Engineer - Remote
Note: The job is a remote job and is open to candidates in USA. Optum is a global leader in health care innovation, developing solutions that improve health outcomes. The Senior AI/ML Engineer will design and build enterprise-scale generative AI applications and workflows, collaborating with cross-functional teams to enhance health and financial technology solutions.
Responsibilities
- Design, develop, and deploy enterprise-scale AI-powered solutions and LLM-powered applications using modern GenAI frameworks and APIs with an emphasis on the responsible use of AI
- Develop agentic AI workflows, multi-step reasoning systems (with tool usage and memory), and advanced Retrieval-Augmented Generation (RAG) pipelines
- Design and develop responsive frontend applications using React and Nextjs, and build backend services, APIs, and microservices using Python and Nodejs
- Build systems for document ingestion, chunking, embeddings, semantic search, and advanced retrieval strategies (hybrid search, GraphRAG, contextual enrichment)
- Design and optimize relational data models using PostgreSQL and integrate vector databases with relational data sources for contextual responses
- Define end-to-end architecture spanning frontend, backend, AI, and data layers, ensuring performance, scalability, and reliability
- Lead technical decision-making, design reviews, and code reviews, while mentoring junior engineers in AI engineering and full-stack best practices
- Use enterprise-approved AI tools to streamline developer workflows, automate tasks, and drive continuous improvement across the development lifecycle
- Evaluate emerging AI trends, frameworks, tools, and technologies to inform solution design, strategic innovation, and technical direction
- Collaborate with product, business, and engineering teams to translate complex business requirements into scalable technical designs, communicating complex AI concepts to non-technical stakeholders
Skills
- Bachelor's degree or equivalent experience (such as an additional 4+ years of software development experience in lieu of a degree)
- 6+ years of professional experience in software engineering or AI/ML engineering
- 4+ years of hands-on experience with frontend technologies (React, Nextjs) and backend development (Python or Nodejs, and REST APIs)
- 3+ years of experience with relational database design and optimization using PostgreSQL
- 2+ years of experience building and deploying end-to-end Generative AI and LLM-powered applications in production
- 2+ years of experience designing and implementing RAG (Retrieval-Augmented Generation) pipelines, including semantic search, embeddings, and vector databases
- 1+ years of experience with AI orchestration frameworks (such as LangChain, LangGraph, or CrewAI) or developing agentic, multi-agent AI workflows
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field
- Experience implementing hybrid search strategies, GraphRAG, and contextual enrichment patterns for document retrieval
- Deep understanding of distributed systems, microservices architecture, and enterprise application scalability
- Solid expertise in designing AI evaluation metrics and establishing safety guardrails for reliable model outputs
- Proven ability to mentor engineering teams, lead technical design reviews, and establish best practices in full-stack and AI development
- Proven excellent cross-functional communication skills, with the ability to translate complex technical AI concepts into clear business insights for stakeholders
Benefits
- A comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution (all benefits are subject to eligibility requirements)
- All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
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