Founding Engineer - AI Recruiting Infrastructure (SF, On-site)
$130,000 - $160,000 + Competitive Equity
About the Company
Our client is an early-stage, venture-backed startup building AI agents that do the actual work of recruiting.
Instead of job boards and applications, their platform autonomously finds, engages, qualifies, and converts top talent-focusing on the 75% of candidates who never apply.
They've raised a pre-seed from top-tier investors and are արդեն operating at marketplace scale, with 40K+ candidates and hundreds of high-growth startup customers.
Now, they're scaling toward the next phase-and need a founding engineer to help build the infrastructure that takes this 100x.
The Role
This is a true founding engineer opportunity working directly with the CTO.
You won't be picking up tickets-you'll own systems end-to-end and ship to production daily. The feedback loop is tight: what you build this week is used by real customers immediately.
You'll play a key role in shaping the technical foundation of an AI-native recruiting platform.
Location: San Francisco (on-site)
Visa sponsorship available
Key Responsibilities
Own and build critical systems across the platform, including:
- Candidate Data Infrastructure
Build pipelines that ingest and structure candidate data across resumes, LinkedIn, and GitHub. Use LLMs to extract true signal (skills, seniority, experience) and scale high-volume outbound without deliverability issues - Agentic Conversation Systems
Develop AI agents that engage candidates via messaging, handle objections, answer questions, and schedule calls-while maintaining accuracy and human-like interaction - Real-Time Matching Engine
Design low-latency systems (<100ms) that intelligently match candidates to roles, understanding nuance beyond keyword search - Ship production-ready features daily and iterate quickly based on real user feedback
Tech Stack
TypeScript, React, Next.js, Supabase, Prisma, Typesense
OpenAI / Claude APIs, Trigger.dev
What We're Looking For
- 1-5 years of experience building and shipping production systems
- Comfortable working across the stack (frontend → backend → infra)
- Experience working with LLMs beyond basic prompting (RAG, embeddings, agents, etc.)
- Strong builder mindset-able to make decisions with incomplete information and move fast
- Proven track record of owning and shipping something end-to-end (startup, side project, or internal tool)
Nice to Have
- Experience scaling systems handling large data or user volume
- Background in search, ranking, or matching systems
- Prior exposure to high-growth or early-stage startup environments
Why This Role?
- Direct impact: Build core systems powering the future of recruiting
- Real ownership: Own products end-to-end, not just features
- Speed: Ship daily and see immediate real-world usage
- Strong early traction: 40K+ users and growing fast
- High upside: Competitive salary + meaningful early-stage equity
- Founder proximity: Work directly with the CTO and shape technical direction
