Founding Full-Stack Engineer
Founding Full-Stack Product Engineer (AI-Native)
On-Site | San Francisco | Full-Time
$160K–$220K base + meaningful equity
H-1B transfers supported
The Bar
This is a founding engineer seat at an early-stage AI company building core infrastructure for LLM-powered systems.
If you need tight requirements, stable roadmaps, or a slow ramp, this is not the role.
If you ship fast, think clearly, and believe AI-native development changes how software should be built — keep reading.
What Youll Own
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End-to-end product engineering: backend, frontend, infrastructure
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AI-driven product features (context engineering, internal GenAI tooling)
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Telemetry, observability, and system intelligence
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Direct interaction with founders and early customers
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Fast iteration under incomplete information
You will regularly switch between products, systems, and customer realities. That's the job.
Non-Negotiables
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5+ years building and shipping real products as a full-stack engineer
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Strong backend bias (60/40 backend/frontend)
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Production experience with TypeScript, Node, Next.js
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Startup experience where priorities changed weekly — and you still shipped
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You actively use AI tools in your daily workflow (not interested in learning)
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Clear, concise communicator — in writing and conversation
Strong Signals
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Seed to Series A startup experience
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Experience with developer tooling, telemetry, or infra-adjacent systems
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Public technical thinking (blog, GitHub, X, talks)
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Evidence of learning velocity over pedigree
Red Flags (We Will Screen Out)
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Long resumes with vague impact
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Pure big-tech backgrounds without recent startup experience
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Engineers are optimized for promotion cycles instead of ownership
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Low-intensity, low-urgency working styles
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Candidates who talk about AI but don't use it
Environment
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In-person, 5 days/week in San Francisco
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High-trust, high-expectation culture
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Not a 9–5 shop — consistency and output matter
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Small senior team, direct founder access
Interview Process
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Founder screen (~15 minutes)
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Final on-site loop (up to 4 hours)
Outcome
Best case: you help define a category and build systems that scale with AI.
Worst case: you leave with elite experience, a powerful network, and accelerated growth.
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