Senior AI Engineer, Production ML for Healthcare

Humana; Dallas (TX); Hybrid; USD 118,000 - 162,000; Full time

Benefits offered by this job

Bonus incentive plan

Hybrid work schedule

Job summary

Humana is seeking a Senior AI Applied Engineer to design, build, deploy, and operate production AI systems at scale. You will own end-to-end solutions spanning UX, APIs, model orchestration, data pipelines, and cloud infrastructure in a regulated healthcare environment.

Responsibilities include designing robust LLM-based workflows, tool-calling, RAG, and agentic processes, with a focus on accuracy, reliability, and auditability. Dallas, TX-based hybrid work is offered plus a bonus incentive plan.

Qualifications

• 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.

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.

Skills

5+ years experience

Python

TypeScript/JavaScript

Full-stack development

LLMs in production

Education

Bachelor's degree

Tools

Docker

Kubernetes

PostgreSQL

OpenAI

Job description

Humana is seeking a Senior AI Applied Engineer to design, build, deploy, and operate production AI systems at scale. You will own end-to-end solutions spanning UX, APIs, model orchestration, data pipelines, and cloud infrastructure in a regulated healthcare environment.

Responsibilities include designing robust LLM-based workflows, tool-calling, RAG, and agentic processes, with a focus on accuracy, reliability, and auditability. Dallas, TX-based hybrid work is offered plus a bonus incentive plan.