Senior AI Systems Engineer, Healthcare Platform

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

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) plan

Paid time off

Disability insurance

Life insurance

Job summary

Humana is seeking a Senior AI Applied Engineer to design, build, deploy, and operate production AI systems at scale within one of the largest health insurers in the United States. You will own end‑to‑end solutions from user experience and APIs to model orchestration, evaluation frameworks, and infrastructure.

You will work on extraction, retrieval, agentic workflows, and human‑review systems processing real healthcare data. Hybrid schedule with strong emphasis on reliability and privacy.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 5+ years of experience building and operating production software systems.
• Experience developing backend services, APIs, distributed systems, or data‑intensive applications.
• Hands‑on experience integrating LLMs into production applications beyond simple chat interfaces, including structured outputs, tool calling, retrieval‑augmented generation (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, navigate ambiguity, and take ownership of projects from concept through deployment.

Responsibilities

• 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.
• Develop robust prompt strategies, structured output frameworks, tool‑calling capabilities, and fallback mechanisms to improve reliability.
• Design and implement retrieval‑augmented generation (RAG) systems using embeddings, vector databases, and semantic search technologies.
• Build evaluation frameworks, including benchmark datasets, regression testing, quality metrics, and human review workflows.
• Develop human‑in‑the‑loop processes that enable clinicians and domain experts to validate AI outputs and provide feedback for continuous improvement.
• Build and maintain document‑processing pipelines, including OCR, document ingestion, metadata extraction, indexing, and search capabilities.
• Optimize AI systems for accuracy, latency, reliability, scalability, and cost efficiency.
• Implement observability, monitoring, logging, alerting, and incident response processes for production systems.
• Deploy and operate services in cloud‑native environments using Kubernetes, Docker, CI/CD pipelines, and modern infrastructure tooling.
• Collaborate with product, engineering, clinical, and operational stakeholders to translate complex business requirements into scalable solutions.
• Ensure solutions meet privacy, security, compliance, and auditability requirements within a regulated healthcare environment.

Skills

Backend development

LLM integration

Python

TypeScript/JavaScript

Production systems

Distributed systems

AI platforms

Debugging

Education

Bachelor's degree

Tools

Docker

Kubernetes

Cloud services

CI/CD

Job description

Humana is seeking a Senior AI Applied Engineer to design, build, deploy, and operate production AI systems at scale within one of the largest health insurers in the United States. You will own end‑to‑end solutions from user experience and APIs to model orchestration, evaluation frameworks, and infrastructure.

You will work on extraction, retrieval, agentic workflows, and human‑review systems processing real healthcare data. Hybrid schedule with strong emphasis on reliability and privacy.