Senior Machine Learning Engineer

About the role

Join a focused pod building two tightly-coupled capabilities for Humana's internal users: an internal agentic search engine and a Perplexity-style front end.

Responsibilities

• Build hands-on, end-to-end agentic AI features into production.
• Engineer agentic systems, including planning, retrieval, tool-use, and orchestration components.
• Integrate multiple data sources and connect agents to various internal and enterprise data sources.
• Deploy and operate solutions on Google Cloud (Vertex AI, GKE, BigQuery, Cloud Run).
• Contribute to the Perplexity-style front end to deliver a fast, intuitive, conversational search experience.
• Owning quality and evaluation by establishing evals, guardrails, observability, and feedback loops.
• Collaborate on-site in NYC Mid-Town 3 days per week (Tuesday–Thursday).

Requirements

• Strong, current software engineering fundamentals with clean, tested, production-quality code (Python strongly preferred).
• Demonstrated, hands-on experience building agentic AI systems (agents, tool-use, planning, multi-step reasoning, RAG/retrieval).
• Deep expertise with the Google Cloud technology stack (Vertex AI, GKE, BigQuery, Cloud Run, Cloud Storage, IAM).
• Experience integrating LLM applications with numerous, heterogeneous data sources (APIs, databases, document stores, search).
• Experience taking ML/GenAI systems to production (deployment, scaling, monitoring, and reliability).
• Ability to work on-site in NYC Mid-Town 3 days per week.

Qualifications

• Breadth of knowledge across frontier models (e.g., Gemini, and other leading LLM families) and when to use which.
• Hands-on experience with open-source agentic and LLM frameworks (e.g., LangChain, LangGraph, LlamaIndex, or similar).
• Front-end / full-stack exposure to help deliver a Perplexity-style user experience.
• Experience with evaluation frameworks, guardrails, and responsible-AI practices.
• Prior experience in regulated or enterprise environments (healthcare a plus).

Skills

• Strong communication skills to collaborate well in person with a tight-knit pod and client stakeholders.
• Curious about the frontier — keeps up with new models, frameworks, and techniques.

Benefits

• Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
• Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
• Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.
• Collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.

Pay

TBD

Schedule

In-person 3 days/week