Raycaster (raycaster.ai) (YC F24) builds a document IDE for high-stakes, regulated work in life sciences (CMC / quality / regulatory). The product turns messy, versioned documents (PDFs, Word redlines, tables) into a structured workspace where agents can search, cite, reconcile changes, and help draft.
We’re hiring a Research Engineer who can both (1) ship production systems and (2) help define the research direction for the company. There’s room to publish technical deep dives, benchmarks, and papers from day 0.
What you’ll do: - Build and ship core agent workflows: orchestration, retrieval, tool use, guardrails, evals - Work on document pipelines + versioning + reliability/observability - Turn research ideas into production features (and sometimes the other direction) - Help design benchmarks/datasets for high-stakes document tasks; potentially publish
What we’re looking for: - Strong engineering fundamentals (distributed systems / performance / reliability) - Comfortable implementing and iterating on evaluation (not just demos) - Product taste: you notice UX details and can build end-to-end - Able to learn a domain quickly and ask sharp questions
Nice to have: - Prior publications, open-source, or technical writing
Logistics: - NYC (Hudson Yards), in-person 5 days/week - Compensation: base + founder-level equity (details in process)
To apply, email: founders [at] raycaster.ai Include: a link to work you’ve shipped (GitHub/projects) and 1–2 examples of research/evals you’ve built (can be informal).