Applied AI Research Engineer

About the role

This is a hands-on role for someone who’s equally strong in research thinking and engineering execution. You will define what “good” looks like for AI-powered features, build systems that meet that bar, and own them through launch and beyond. From writing eval plans to debugging failures in production, you will work across the stack and across functions to ship reliable, high-quality LLM-driven systems.

What you'll do

• Define what “good” looks like for AI-powered features, build systems that meet that bar, and own them through launch and beyond
• Design, build & ship AI-backed features that are reliable in production
• Define the quality bar: design eval rubrics, test plans, and rollout criteria. Make sure they’re measurable and enforced
• Build with real-world constraints: write and extend production code, set up monitoring, and add tests that catch regressions before users do
• Own features end to end from problem framing to modeling, from system design to rollout and iteration

What you need

• Python
• Research
• LLMs
• Test cases
• System design
• Any graduate