Software Engineer

UnitedHealth Group•Hartford, CT

11d•$72,800 - $130,000•Hybrid

About The Position

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. If you reside near Hartford, CT, you’ll enjoy the flexibility of a hybrid-remote position as you take on some tough challenges.

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field
2+ years of experience building and deploying AI/ML or generative AI solutions in production or enterprise environments
2+ years of experience in Python for building AI services, APIs, and backend systems
2+ years Hands-on experience developing agentic workflows (multi-step reasoning, tool usage, orchestration, or automation flows)
2+ years of experience building RAG-based solutions, including embeddings, vector search, and retrieval pipelines
2+ years of experience in familiarity with LLM frameworks (e.g., LangChain, LangGraph, or similar)
2+ years of experience integrating AI solutions with APIs, databases, and enterprise systems
2+ years of experience with evaluation and debugging of AI systems, including improving accuracy, grounding, and reliability
2+ years of experience in problem-solving skills and ability to translate business requirements into technical AI solutions

Responsibilities

Design, develop, and deploy AI-powered solutions to solve complex business problems and improve operational efficiency
Build and scale agentic systems that perform multi-step workflows using reasoning, tool integration, and context retrieval
Develop and optimize RAG (Retrieval-Augmented Generation) pipelines, including document ingestion, embeddings, and semantic search
Integrate AI capabilities into enterprise systems via APIs, microservices, and backend services
Establish and promote engineering standards and best practices for AI development, including code quality, reusability, and governance
Partner with product, data, and engineering teams to identify high-value AI use cases and translate them into scalable solutions
Implement prompt engineering, orchestration, and model interaction patterns to improve output quality and reliability
Ensure AI solutions are production-ready with proper monitoring, logging, observability, and performance optimization
Evaluate emerging AI tools, platforms, and frameworks to drive continuous innovation and improve development efficiency
Mentor team members and support adoption of AI/GenAI technologies across engineering teams