Senior AI Software Engineer

Humana

Senior AI Software Engineer building LLM-powered clinical features and backend services for Humana’s healthcare and insurance operations. Developing RAG systems, model evaluations, and HIPAA-compliant AI infrastructure.

Posted 9/10/2026full-timeRemote • Florida, Illinois, Kentucky, Massachusetts, New York, North Carolina, Tennessee, Texas, Washington • 🇺🇸 United StatesSenior💰 $128,300 - $176,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining LLM-powered features, ensuring compliance with HIPAA standards, and implementing evaluation frameworks for AI outputs. Proficient in Python and TypeScript, with a strong background in AI/ML systems and operational tooling.

Highest-signal resume keywords

Python ProgrammingTypeScript ProgrammingLarge Language Model DevelopmentREST API DevelopmentHIPAA Compliance

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Hard Skills

Software EngineeringAI/ML Systems DevelopmentEvaluation FrameworksModel MonitoringDebuggingAutomated TestingVector Database DesignFoundation Model Fine-TuningMulti-Agent AI ArchitecturesEHR Systems Exposure

Soft Skills

Autonomous WorkStrong JudgmentCollaboration

Tools & Technologies

LangChainLlamaIndexHugging FacePyTorchScikit-learnClaude CodePi AgentCursorCodexNext.js

Certifications & Qualifications

B.S. or M.S. in Computer ScienceEngineering Degree

Industry Keywords

Clinical DataHealthcare AI ApplicationsFHIR StandardsAI GovernanceResponsible AI Standards

Tech Stack

Tools & technologies

GraphQLJavaScriptNext.jsPythonPyTorchScikit-LearnTypeScript

About the role

Key responsibilities & impact

Build and maintain LLM-powered features, including retrieval-augmented generation systems, structured prompt pipelines, and intelligent workflow automation for clinical settings
Implement and iterate on evaluation frameworks measuring accuracy, safety, and reliability of production AI outputs
Monitor deployed models and contribute to quality improvement
Build Python- or TypeScript-based backend services exposing AI capabilities through REST, GraphQL APIs, and WebSockets
Contribute to AI infrastructure design, deployment automation, and operational tooling
Ensure systems meet HIPAA standards and protected health information is handled appropriately
Standardize software quality assurance procedures
Oversee testing and debugging and develop fixes
Research complaints and resolve complex software-related issues
Participate in architecture discussions, code reviews, and technical design sessions
Help establish and uphold engineering standards in a new, growing team
Make technical approach decisions for project components with considerable autonomy

Requirements

What you’ll need

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 such as LangChain or LlamaIndex
Proficiency in Python, TypeScript, and ML libraries such as Hugging Face, PyTorch, or scikit-learn
Experience building REST or GraphQL APIs serving AI/ML model outputs
Understanding of retrieval-augmented generation pipeline design and vector databases
Experience building custom LLM and agent evaluations, 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 autonomously with strong judgment in a greenfield, ambiguous environment
Hands-on experience with AI-assisted development tools and LLM coding harnesses such as Claude Code, Pi Agent, Cursor, or Codex
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
Experience in a 0-to-1 product build or early-stage engineering environment
Understanding of Humana's enterprise AI governance and responsible AI standards
Must live close to one of Humana's designated IT locations

Benefits

Comp & perks

Bonus incentive plan based on company and/or individual performance
Medical, dental and vision benefits
401(k) retirement savings plan
Paid time off
Company and personal holidays
Paid parental and caregiver leave
Short-term and long-term disability
Life insurance
Personal wellness and smart healthcare decision support
Remote or hybrid home/office work arrangement
Occasional travel to Humana offices for training or meetings