Senior AI Software Engineer

The Senior Software Engineer codes software applications based on business requirements. The Senior Software Engineer work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors.

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.

• 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 (Lang Chain, Llama Index, 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)

• 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 Type Script 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

The candidate must live close to one of our designated IT locations: NYC, NY;
Louisville, KY;
Tampa, FL;
Fort Lauderdale, FL;
Dallas/Frisco, TX;
Boston, MA;
Washington,

D.C:
Atlanta, GA, Nashville, TN, Chicago, IL, or Charlotte, NC.

Work at Home Requirements:
To…