Forward Deployed AI Engineer

What You’ll Do
Work directly with enterprise customers to identify new problems, prototype solutions, and ship them to production

Own customer engagements from discovery and solution design through production, adoption, and expansion.

Design and implement LLM-powered systems and agentic workflows from concept to production

Use and extend our core context-learning library to solve customer problems, contributing reusable capabilities and lessons back into the platform.

Build agentic features for knowledge management–think agents that can edit, update, and maintain large knowledge bases autonomously

Build reliability and confidence systems–evaluation frameworks, confidence scoring, and logic for when to automate vs. when to escalate to a human

Architect async, scalable systems that handle complex AI orchestration

What We’re Looking For
You’ve built complex, production LLM-based systems with real depth–something with multiple layers of engineering decisions you can walk through in detail

You’ve shipped something meaningful to production and can explain how it evolved

You’re excited by open-ended problems where the solution might not exist yet

You have experience with (or strong interest in) how systems learn and improve over time: human-in-the-loop feedback, prompt optimization and context engineering

You have experience building agents and autonomous systems

You can navigate between research papers and production code with equal comfort

You bring customer empathy and commercial judgment, and remain effective when requirements, data, or expectations are unclear.

You’re a strong communicator who can clearly explain your work to teammates and customers

You have 3+ years of professional experience