Founding Engineer (In-Person) jobs in United States
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Raycaster · 1 month ago

Founding Engineer (In-Person)

Raycaster is building AI agents for life sciences, focusing on improving regulated documentation in drug development. The Founding Engineer will own core product and infrastructure, shaping architecture and shipping production systems while working closely with the founders.

Artificial Intelligence (AI)BiotechnologyGenerative AISalesSoftware
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Responsibilities

Architect and implement core services for agents, workflow orchestration, and document versioning
Design data models for complex regulated content (dossiers, protocols, specs, variations)
Build interfaces that let scientists and regulatory teams trust and control AI outputs
Define how we evaluate agents (beyond toy benchmarks) and ship those evals
Collaborate on technical deep dives, benchmarks, and (occasionally) papers or talks
Partner with customers to understand workflows and translate them into product and APIs
Help with early hiring and set the technical + research + product bar for the team

Qualification

GoDistributed SystemsAI/ML SystemsPythonTypeScriptGoogle CloudMicrosoft AzureAmazon Web Services (AWS)ResearchProduct DesignCuriosity

Required

3+ years of experience in engineering
Strong systems engineering background
Significant experience in Go, Rust, or a similar systems language
Comfort with distributed systems, concurrency, and performance tuning
Hands-on experience with production AI/ML systems
Deployed LLM, RAG, or model-driven systems to real users
Thoughtful about evaluation, guardrails, and failure modes
Researchy instincts, builder bias
Excited by questions like: 'what is the right benchmark for regulated-agent reliability?'
Happy to publish or open-source when it's genuinely useful, not just for badges
Product + design sensibility
Curiosity about complex domains
Interested in how big, messy organizations actually work beneath the org chart
Enjoy modeling gnarly workflows into clean abstractions
US citizen/visa only

Preferred

Experience with LLM agents, RAG systems, or document AI
Background in version control, CRDTs, or collaborative editing systems
Familiarity with biotech/pharma (regulatory, QC, CMC, clinical, safety, or labeling)
Open-source work, technical blog posts, or papers / talks that show how you think

Benefits

2–10% equity (we want you to feel like an owner)
Standard benefits

Company

Raycaster

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Raycaster streamlines selling technical products by automating research, uncovering insights like lab specs or API metrics.

Funding

Current Stage
Growth Stage
Total Funding
$0.5M
Key Investors
Y Combinator
2024-12-04Pre Seed· $0.5M
Company data provided by crunchbase