Software Engineer
Role details
Job location
Tech stack
Job description
- 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
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
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
*All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Benefits & conditions
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $72,800 to $130,000 annually based on full-time employment. We comply with all minimum wage laws as applicable.