Member of Technical Staff
San Francisco, CAIn-personFull-Time1 - 15+ Years
About
About Context AI
Enterprise AI Transformation
Requirements
Must-have
- Has shipped LLM and agent systems past RAG : built real agentic workflows in production, not just RAG demos. Pure RAG-only candidates do not clear.
- Strong full-stack engineering skills with production TypeScript and React experience (FDE track) OR deep infrastructure background with AWS, Terraform, Kubernetes (Platform track)
- Track record of shipping product: care is on what has been built, not years of experience
- High agency: does not wait to be told what to work on
- Comfort with ambiguity and moving fast in a small team
- AI/ML systems, LLM integrations, or agent framework production work
- Enterprise customer experience or forward-deployed engineering background
- Bachelor's from an Ivy+, Berkeley, Stanford, Georgia Tech, or UT
- Last 2 YC batch founder background (FDE track)
Benefits & perks
- Meaningful Equity
Interview process
- 1Application review
- 2Intro Call
- 3Technical Round
- 41-Day Work Trial
- 5Offer Extended
- 6Hired
Drop your CV for this role.
One PDF and your email. We read it, score your fit for this role at Context AI, and route the introduction through us.