Full Stack Engineer (AI Search Products / TypeScript) - Member of Technical Staff
Join a well-funded AI search company building a next-generation search engine designed for AI agents and power users. As a Full Stack Engineer, you'll build and ship user-facing product experiences, design and implement TypeScript APIs, and partner with ML and infra teams to expose core capabilities.
Key Highlights
Technical Skills Required
Benefits & Perks
Job Description
🚀 Full Stack Engineer (AI Search Products / TypeScript) — Member of Technical Staff
📍 San Francisco (In‑person) | 💰 $140K–$220K + Equity | 🩺 Medical / Dental / Vision |
🛂 Visa sponsorship available
We’re partnered with a well-funded AI search company building a next‑generation search engine designed for AI agents and power users. Their products enable users to run high‑compute research workflows (think: complex entity discovery + enrichment + monitoring) that standard search can’t do.
As the product surface expands, they’re looking for a product‑minded Full Stack Engineer who loves owning features end‑to‑end and sweating details.
- Build and ship user-facing product experiences from UI → API → database
- Create fast, intuitive workflows for complex search + research tasks
- Design and implement TypeScript APIs and internal tools that make the platform easier to extend
- Work with vector search / semantic retrieval plumbing (e.g., pgvector-style patterns) to power product features
- Partner tightly with ML + infra to expose core capabilities in a way that’s simple, reliable, and scalable
- Improve quality through pragmatic testing, monitoring, and performance work
- Strong full‑stack fundamentals; you’ve shipped production features you can point to
- Deep comfort with TypeScript
- Experience building modern web apps with React + Next.js (or comparable)
- Solid backend instincts: API design, data modeling, and making good tradeoffs
- Builder mindset: you move fast, communicate clearly, and take ownership
- Experience with Prisma-style ORMs, Postgres, and vector similarity search patterns
- Experience integrating LLM APIs into real product workflows
- Startup experience (or the temperament: high pace, low ego, high output)
- Work on AI-native search products (not a wrapper around someone else’s engine)
- High ownership + direct collaboration with technical leadership
- Problems with real depth: retrieval quality, UX for research workflows, performance at scale
TL;DR: If you want to build beautiful product on top of serious search + agentic infrastructure, this role is for you.
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