A fast-growing developer-tools startup building the infrastructure layer that lets product teams ship LLM-powered features without standing up their own ML platform. Backed by top-tier US investors, the team is small, senior, and ships to production every day — engineers own problems end to end, from API design to the metrics dashboard.
Developer Tools · AI Infrastructure
You will own core services in the platform that orchestrates model calls, caching, and evaluation pipelines at scale. We are looking for a pragmatic backend engineer who is comfortable in an ambiguous, fast-moving environment, cares about clean APIs and observability, and is excited to go deep on applied LLM systems. You will work directly with the founders and have a real say in architecture decisions.
Must have
- 5+ years building and operating production backend services
- Strong Python and solid TypeScript
- Experience designing and scaling REST / async APIs
- Comfortable owning features end to end in a small team
- Professional working English (written and spoken)
Nice to have
- Hands-on experience with LLM / RAG pipelines
- Familiarity with vector databases (pgvector, Pinecone, etc.)
- Prior early-stage / YC startup experience
- Contributions to open-source developer tools
Internal process
- Intro / Culture Call 30 min
A relaxed conversation with Purrfect Hire to align on goals and expectations.
- Technical Screen 60 min
Live discussion of past systems you have built — no whiteboard trivia.
Client stage
- Take-home / Pairing 90 min
A short, realistic task reviewed together with the company team.
- Founder Conversation 45 min
Meet the founders, dig into the roadmap, and ask anything.
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