Senior AI Software Engineer
New
H
HumanaHealthcare AI
United StatesFull-TimeSenior
Salary$128,300 - $176,400 per year
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Job Details
- Experience
- 5+ years of software engineering experience, with 2+ years building production AI/ML systems
- Required Skills
- GraphQLPythonPyTorchTypeScriptRESTful APIsLangChainHIPAA
Requirements
- 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)
Responsibilities
- Build and maintain LLM-powered features including retrieval-augmented generation systems, structured prompt pipelines, and intelligent workflow automation deployed in clinical settings.
- 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.
- Build Python or Typescript based backend services that expose AI capabilities to product and clinical applications via REST, GraphQL APIs and Websockets.
- Contribute to AI infrastructure design, deployment automation, and operational tooling as the team scales.
- Ensure all systems meet HIPAA standards and that protected health information is handled appropriately throughout the stack.
- Participate actively in architecture discussions, code reviews, and technical design sessions.
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