
What the role involves
What you’ll do
Maintain the core: agent orchestration + document pipelines + versioning
Ship end-to-end: Go backend + React UI (you’ll touch everything)
Make it reliable: evals, guardrails, observability (no demo-only systems)
Turn customer pain into product fast (you’ll talk to users)
What we care about
You’ve built and shipped real systems (Go/Rust preferred). You can own a subsystem.
You’re strong on fundamentals: distributed systems, concurrency, performance
You’ve shipped AI/LLM features in production, and you learn new things insanely fast and can prove it
You have high attention to detail + high standards
You have product taste
- you notice UX/copy/states, not just code
- If you don’t know something, you figure it out in hours - not weeks
Nice to have
- interest in biotech, healthtech, or any regulated industry
- Research angle (optional)
- We’re working on agent / domain-specific evals, new embeddings and indexing benchmarks, and may publish benchmarks / deep dives and submit to conferences / journals. If you want to help set standards for this space, there’s room.
- Logistics
- NYC, in-person, 5 days/week (we build better together)
- Competitive base + founder-level equity (2–10%)
Apply: send (1) GitHub / past systems you built, and (2) one paragraph on why you’re interested in working at Raycaster to founders [at] raycaster.ai
What they ask for
About Raycaster
Raycaster is an AI document workspace - think Cursor for regulated content, starting with life sciences teams to draft, edit, and review submissions much faster.
Full Raycaster profile