Senior AI Engineer

Humana; Louisville (KY); Hybrid; USD 141,000 - 194,000; Full time

Benefits offered by this job

Bonus incentive plan

Job summary

Humana is seeking a Senior AI Engineer to design, build, and operate production AI systems that process clinical documents using LLMs in a hybrid role based in Louisville, KY. You will own end-to-end delivery from model orchestration to production operations, with a focus on accuracy, reliability, auditable results, and scalable solutions within a regulated healthcare environment.

The role involves full-stack development of AI-powered applications, building LLM workflows, prompts, RAG pipelines,

Qualifications

• Bachelor's degree in a quantitative field or related experience.
• 5+ years building and operating production software systems.
• Hands-on production LLM integration with structured outputs and tool calling.
• Experience with at least one major AI platform (OpenAI, Anthropic, Google, Azure AI, AWS Bedrock).
• Strong Python and/or TypeScript/JavaScript programming skills.

Responsibilities

• Design, develop, and deploy full-stack AI-powered applications.
• Build LLM-based workflows for information extraction, classification, retrieval, summarization, and agentic processes.
• Create robust prompt strategies, structured output frameworks, tool-calling capabilities, and fallback mechanisms.
• Implement retrieval-augmented generation (RAG) using embeddings, vector databases, and semantic search technologies.
• Develop evaluation frameworks with benchmark datasets, regression testing, quality metrics, and human review workflows.
• Build human-in-the-loop processes for clinician and domain expert validation.
• Own document-processing pipelines including OCR, document ingestion, metadata extraction, indexing, and search.
• Optimize AI systems for accuracy, latency, reliability, scalability, and cost efficiency.
• Implement observability and operational readiness with monitoring, logging, alerting, and incident response.
• Deploy and operate cloud-native services using Kubernetes, Docker, and CI/CD pipelines.
• Collaborate with product, engineering, clinical, and operational stakeholders to turn complex requirements into scalable solutions.
• Ensure privacy, security, compliance, and auditability requirements for healthcare.

Skills

Python

TypeScript/JavaScript

APIs

LLM integration

Data pipelines

Front-end experiences

Education

Bachelor’s degree in a quantitative field

Tools

PostgreSQL

Docker

Kubernetes

Vertex AI

OCR/Document AI

OpenAI

Anthropic

Google

Azure AI

AWS Bedrock

Gemini on Vertex AI

Job description

Humana is hiring a Senior AI Engineer to build and run production AI systems that process clinical documents using LLMs. This hybrid role in Louisville, KY focuses on delivering accurate, reliable, auditable, and scalable solutions in a regulated healthcare environment, with ownership from end-to-end application delivery through model orchestration, evaluation, infrastructure, and production operations.

What you will do

• Design, develop, and deploy full-stack AI-powered applications, including frontend experiences, APIs, backend services, and data pipelines.
• Build and optimize LLM-based workflows for information extraction, classification, retrieval, summarization, and agentic processes.
• Create robust prompt strategies, structured output frameworks, tool-calling capabilities, and fallback mechanisms to improve reliability.
• Implement retrieval-augmented generation (RAG) using embeddings, vector databases, and semantic search technologies.
• Develop evaluation frameworks with benchmark datasets, regression testing, quality metrics, and human review workflows.
• Build human-in-the-loop processes so clinicians and domain experts can validate outputs and provide feedback for continuous improvement.
• Own document-processing pipelines including OCR, document ingestion, metadata extraction, indexing, and search.
• Optimize AI systems for accuracy, latency, reliability, scalability, and cost efficiency.
• Implement observability and operational readiness with monitoring, logging, alerting, and incident response.
• Deploy and operate cloud-native services using Kubernetes, Docker, and CI/CD pipelines.
• Collaborate with product, engineering, clinical, and operational stakeholders to turn complex requirements into scalable solutions.
• Ensure solutions meet privacy, security, compliance, and auditability requirements for healthcare.

What you bring

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or another quantitative or related technical discipline, or an equivalent combination of education and practical experience.
• 5+ years building and operating production software systems.
• Experience with backend services, APIs, distributed systems, or data-intensive applications.
• Hands-on production LLM integration beyond chat interfaces, including structured outputs, tool calling, RAG, agents, or multi-step workflows.
• Experience with at least one major AI platform or model provider such as OpenAI, Anthropic, Google, Azure AI, or AWS Bedrock.
• Strong programming skills in Python and/or TypeScript/JavaScript.
• Experience debugging, monitoring, and supporting production applications used by real customers.
• Ability to work independently, manage ambiguity, and take ownership from concept through deployment.

Technology stack you will work with

• TypeScript (React / Next.js)
• Python
• PostgreSQL
• Gemini on Vertex AI
• OCR and Document AI
• Docker, Kubernetes
• OpenAI, Anthropic, Google, Azure AI, AWS Bedrock
• Modern CI/CD platforms and tooling

Benefits

• Medical, dental and vision benefits
• 401(k) retirement savings plan
• Time off (including paid time off, company and personal holidays, paid parental and caregiver leave)
• Short-term and long-term disability
• Life insurance

Work schedule and pay

• Location: Louisville, KY (hybrid), with a schedule requiring three days per week in the office and the remaining days remote
• Weekly hours: 40
• Pay range: $141,100 - $194,000 per year
• Eligible for a bonus incentive plan

Preferred qualifications

• Experience building AI systems where LLMs are part of a critical production workflow
• Experience with evaluation frameworks, testing strategies, prompt versioning, tracing, and model performance monitoring
• Experience with agentic architecture, Model Context Protocol (MCP), tool orchestration frameworks, or autonomous workflows
• Experience with React, Next.js, modern frontend development, and full-stack application architecture
• Experience deploying and operating workloads in Kubernetes, Docker, and cloud environments
• Experience with modern CI/CD practices and infrastructure automation
• Experience working in regulated industries such as healthcare, financial services, or government
• Familiarity with privacy, compliance, governance, and data protection requirements
• Experience using AI-assisted development tools to improve engineering productivity and software quality
• Strong problem-solving, communication, and collaboration skills

Relocation requirement: Qualified candidates must currently reside within, or be willing to relocate to, a commutable distance from one of the talent markets.