Senior AI Software Engineer

About the role

The Senior Software Engineer codes software applications based on business requirements. The Senior AI Software Engineer standardizes the quality assurance procedure for software, oversees testing and debugging, and develops fixes. They research complaints and make necessary adjustments and/or recommendations to resolve complex software related issues. They begin to influence the department’s strategy and make decisions on moderately complex to complex issues regarding technical approach for project components, performing work without direct supervision.

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 handle protected health information appropriately throughout the stack.
• Participate actively in architecture discussions, code reviews, and technical design sessions.
• Help set and uphold team engineering standards in a new, growing team.

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)

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

Additional Information

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

About Us: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large.

Equal Opportunity Employer: It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.