Founding Full-Stack Engineer

Transparent Search Group

  • San Francisco, California
  • 13 days ago

    Highlights

    This is a founding engineer seat at an early-stage AI company building core infrastructure for LLM-powered systems. If you ship fast, think clearly, and believe AI-native development changes how software should be built — keep reading.

    Numbers & Facts

    LocationSan Francisco, California
    Websitehttps://www.transparentsearchgroup.com

    Description

    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

    • End-to-end product engineering: backend, frontend, infrastructure

    • AI-driven product features (context engineering, internal GenAI tooling)

    • Telemetry, observability, and system intelligence

    • Direct interaction with founders and early customers

    • Fast iteration under incomplete information

    You will regularly switch between products, systems, and customer realities. That's the job.

    Non-Negotiables

    • 5+ years building and shipping real products as a full-stack engineer

    • Strong backend bias (60/40 backend/frontend)

    • Production experience with TypeScript, Node, Next.js

    • Startup experience where priorities changed weekly — and you still shipped

    • You actively use AI tools in your daily workflow (not interested in learning)

    • Clear, concise communicator — in writing and conversation

    Strong Signals

    • Seed to Series A startup experience

    • Experience with developer tooling, telemetry, or infra-adjacent systems

    • Public technical thinking (blog, GitHub, X, talks)

    • Evidence of learning velocity over pedigree

    Red Flags (We Will Screen Out)

    • Long resumes with vague impact

    • Pure big-tech backgrounds without recent startup experience

    • Engineers are optimized for promotion cycles instead of ownership

    • Low-intensity, low-urgency working styles

    • Candidates who talk about AI but don't use it

    Environment

    • In-person, 5 days/week in San Francisco

    • High-trust, high-expectation culture

    • Not a 9–5 shop — consistency and output matter

    • Small senior team, direct founder access

    Interview Process

    1. Founder screen (~15 minutes)

    2. 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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