Software Engineer - Python, Data Science, AI/ML

Job Description

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. Primary Responsibilities Technical Leadership Architect, design, and implement scalable full stack solutions using Python with robust DevOps pipelines Lead the integration and operationalization of RAG frameworks (e.g., LangChain, LlamaIndex, Pydantic AI) and agentic AI systems to enhance application intelligence and user experiences Set standards for software quality, testing, continuous integration, and deployment End-to-End Solutioning & AI/ML Integration Translate business requirements into robust technology solutions, ensuring smooth functionality from conception through deployment and monitoring Guide all phases of RAG pipeline design-retriever/ranker/reader selection, vector database management, chunking, and metadata optimization-that support enterprise-scale generative AI workflows Architect and integrate agentic systems that automate decision-making, workflow orchestration, and context management across full stack components Full Stack & DevOps Excellence Deliver high-quality web and API applications using Python (Flask, Django, FastAPI) and modern JavaScript frameworks (React, Vue, Angular) Manage cloud infrastructure (AWS, Azure, GCP), CI/CD automation, containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform) Monitor, optimize, and secure AI-centric distributed systems, ensuring reliability and high performance Generative AI, RAG, and Agentic Systems Engineering Integrate and deploy state-of-the-art LLMs and Generative AI within RAG architectures for retrieval and synthesis-based workflows Champion agent-centric design (using frameworks such as LangChain, CrewAI, or similar agent orchestration platforms), enabling autonomous decision-making and complex task workflows Design and execute prompt engineering and evaluation strategies tailored to RAG and agentic systems Mentorship & Collaboration Mentor engineers in full stack, DevOps, AI/ML, RAG, and agentic system best practices Collaborate effectively with product, data, cloud, and research teams to deliver business value Communicate complex technical ideas clearly to both technical and non-technical stakeholders Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications 7+ years in full stack Python application development 3+ years in technical leadership roles Deep, hands-on experience implementing RAG frameworks (LangChain, LlamaIndex, Pydantiv AI, etc.) Proven DevOps experience with automation, cloud platforms, and CI/CD Demonstrated delivery of agentic AI systems and production-grade LLM integrations Technical Skills Advanced Python, REST/GraphQL API design, modern frontend frameworks Solid with cloud, DevOps tooling, container ecosystems Expertise with vector databases, retrieval models, RAG architecture, and knowledge graph integration Familiarity with agent orchestration frameworks (LangChain Agents, CrewAI, open-source agentic toolkits) Deep understanding of enterprise AI scalability, context management, and secure operations Soft Skills End-to-end, systems-level thinker with a strategic mindset Solid mentorship, analytical, and communication skills Adept at cross-domain collaboration and technical evangelism Preferred Qualifications Certifications in cloud, DevOps, or AI/ML fields Experience with enterprise applications of autonomous agents Published work or open-source contributions in RAG or agentic AI frameworks Advanced knowledge of context engineering and evaluation methodologies for generative systems At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.