Senior AI Software Engineer at Humana | Atlanta, GA, US | Rezi

Senior AI Software Engineer at Humana

Senior AI Software Engineer

Humana · Atlanta, GA, US

3 days ago

Senior AI Software Engineer

Humana · Atlanta, GA, US

4 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

The Senior Software Engineer codes software applications based on business requirements. This role involves tackling moderately complex to complex issues requiring in-depth analysis and evaluation of variable factors. The engineer will standardize quality assurance procedures, oversee testing and debugging, develop fixes, and research issues to make recommendations. This position will begin to influence department strategy and involves making decisions on technical approaches for project components with considerable latitude.

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.
  • 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)
  • 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

Skills

  • Python
  • Typescript
  • LLM orchestration frameworks
  • LangChain
  • LlamaIndex
  • ML libraries
  • Hugging Face
  • PyTorch
  • scikit-learn
  • REST APIs
  • GraphQL APIs
  • RAG pipeline design
  • vector databases
  • Pinecone
  • Weaviate
  • pgvector
  • AI-assisted development tools
  • LLM coding harnesses
  • Claude Code
  • Pi Agent
  • Cursor
  • Codex
  • Next.js

Location

  • NYC, NY
  • Louisville, KY
  • Tampa, FL
  • Fort Lauderdale, FL
  • Dallas/Frisco, TX
  • Boston, MA
  • Washington, D.C.
  • Atlanta, GA
  • Nashville, TN
  • Chicago, IL
  • Charlotte, NC

Work Type

  • Full-time

Experience Level

  • Senior
  • 5+ years of software engineering experience
  • 2+ years building production AI/ML systems

Education Level

  • B.S. or M.S. in Computer Science, Engineering, or a related field (or equivalent experience)

Salary/Compensations

  • $106,900 - $147,000 per year

Benefits

  • Medical benefits
  • Dental benefits
  • Vision benefits
  • 401(k) retirement savings plan
  • Time off
  • Paid time off
  • Company holidays
  • Personal holidays
  • Paid parental leave
  • Paid caregiver leave
  • Short-term disability
  • Long-term disability
  • Life insurance

About the Company

  • Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company.
  • Through its Humana insurance services and its CenterWell healthcare services, it makes it easier for millions of people 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.
  • Learn more about what Humana offers at Humana.com and at CenterWell.com.

Equal Opportunity

  • 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.