Remote Lead AI Engineer for Healthcare LLM Systems

Humana, Inc.; Tampa (FL); Remote; USD 155,000 - 213,000; Full time

Job summary

Humana, Inc. in Tampa, FL seeks a Lead Software Engineer to own end-to-end AI system architecture, including LLM-powered tools, RAG pipelines, and multi-agent workflows, with emphasis on safety, HIPAA compliance, and clinical relevance.

You will partner with product, design, and data teams to translate care delivery needs into scalable features, supervise QA, and guide model fine-tuning, evaluation frameworks, and production deployments at scale.

Qualifications

• BS or MS in CS, Engineering, or related field.
• 8+ years software engineering, 4+ years AI/ML.
• Experience with large language models and orchestration frameworks.
• Proficient in Python and Typescript; ML tooling.
• Experience deploying RAG pipelines and vector search.
• Model fine‑tuning approaches (LoRA, RLHF).
• Custom LLM and agent evaluation frameworks.
• Multi-agent AI systems and agent orchestration.
• HIPAA requirements and PHI handling.
• Strong written and verbal communication.
• Hands-on with AI development tools and LLM harnesses.

Responsibilities

• Design and own end-to-end AI system architecture (LLM tools, RAG pipelines, agent workflows).
• Evaluate and guide LLM development, fine-tuning, and model evaluation frameworks.
• Collaborate with product, clinicians, and data stakeholders to translate care workflows into AI features.
• Ensure HIPAA compliance and Responsible AI practices; participate in governance reviews.
• Oversee testing, debugging, and production operations of AI systems.

Skills

Python

Typescript

Large Language Models

LangChain

LlamaIndex

RAG pipelines

Vector search

HIPAA

AI systems

Education

B.S./M.S. in CS or related

Tools

LangChain

LlamaIndex

Hugging Face

PyTorch

Job description

Humana, Inc. in Tampa, FL seeks a Lead Software Engineer to own end-to-end AI system architecture, including LLM-powered tools, RAG pipelines, and multi-agent workflows, with emphasis on safety, HIPAA compliance, and clinical relevance.

You will partner with product, design, and data teams to translate care delivery needs into scalable features, supervise QA, and guide model fine-tuning, evaluation frameworks, and production deployments at scale.