> Markdown version of [/jobs/ext/2299655-senior-ai-software-engineer](https://www.wearedevelopers.com/jobs/ext/2299655-senior-ai-software-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Software Engineer - **Company:** Humana Inc. - **Location:** Chicago, IL, United States - **Experience:** Expert - **Salary:** $106,900.0 - $147,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Automation of Tests, Clinical Data Repository, Code Review, Cursor (Graphical User Interface Elements), Python (Programming Language), Machine Learning, Performance Tuning, Systems Development Life Cycle, Next.js, Service Development Studio, Software Engineering, TypeScript, WebSocket, AI Infrastructure, EHR Systems, Pytorch, Fast Healthcare Interoperability Resources, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Model Validation, Backend, Scikit Learn, Kubernetes, Information Technology, Deployment Automation, HuggingFace, Graphql, Machine Learning Operations, Restful APIs - **Published:** August 29, 2026 - **Apply:** https://www.chicagocareersite.com/job.asp?id=3369531259&tx=FK4946FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * B.S. or M.S. in Computer Science, Engineering, or a related field (or equivalent experience) * 5+ years of software engineering experience, with 2+ years building production AI/ML systems * Hands-on experience with large language models and orchestration frameworks (LangChain, LlamaIndex, or equivalent) * Proficiency in Python, Typescript and ML libraries (Hugging Face, PyTorch, scikit-learn, or similar) * Experience building REST or GraphQL APIs that serve AI/ML model outputs * Solid understanding of RAG pipeline design and vector databases (Pinecone, Weaviate, pgvector, or similar) * Experience building custom LLM and agent evals, including automated testing of model outputs, agent trajectories, and failure modes * Awareness of HIPAA requirements and secure handling of sensitive health data * Ability to work with autonomy and strong judgment in a greenfield, ambiguous environment * Hands-on experience with AI-assisted development tools and LLM coding harnesses (Claude Code, Pi Agent, Cursor, Codex, or similar) Preferred Qualifications * Experience fine-tuning or systematically evaluating foundation models * Familiarity with multi-agent AI architectures, agent orchestration frameworks, and sandboxed code execution environments * Exposure to clinical data, EHR systems, FHIR standards, or healthcare AI applications * Familiarity with TypeScript and Next.js for full-stack feature delivery * Experience in a 0-to-1 product build or early-stage engineering environment * Understanding of Humana's enterprise AI governance and responsible AI standards ## Description The Senior AI Software Engineer standardizes the quality assurance procedure for software. Oversees testing and debugging and develops fixes. Researches complaints and makes necessary adjustments and/or recommendations to resolve complex software related issues. Begins to influence department's strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments., * System Development: Build and maintain LLM-powered features including retrieval-augmented generation systems, structured prompt pipelines, and intelligent workflow automation deployed in clinical settings. * Model Evaluation: Implement and iterate on evaluation frameworks to measure accuracy, safety, and reliability of AI outputs in production. Contribute to ongoing monitoring and quality improvement of deployed models. * Backend Service Development:** Build Python or Typescript based backend services that expose AI capabilities to product and clinical applications via REST, GraphQL APIs and Websockets. * Infrastructure and MLOps: Contribute to AI infrastructure design, deployment automation, and operational tooling as the team scales. * HIPAA-Compliant Development: Ensure all systems meet HIPAA standards and that protected health information is handled appropriately throughout the stack. * Technical Collaboration: Participate actively in architecture discussions, code reviews, and technical design sessions. Help set and uphold team engineering standards in a new, growing team. ## Related Videos - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [AI in High-Stakes Industries: Lessons Learned](https://www.wearedevelopers.com/videos/100253-ai-in-high-stakes-industries-lessons-learned) - [Meet Your New BFF: Backend to Frontend without the Duct Tape](https://www.wearedevelopers.com/videos/682-meet-your-new-bff-backend-to-frontend-without-the-duct-tape) - [GraphQL + Apollo + Next.js: A Lovely Trio](https://www.wearedevelopers.com/videos/311-graphql-apollo-next-js-a-lovely-trio) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)