Hiring.Camp

Founding Full-Stack Engineer

Transparent Search Group

·

Jan 27, 2026

Location
San Francisco
Workplace
Onsite
Type
Full-time
Department
Engineering
Closing date
Feb 28, 2026
Source
CareersPage

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.

Skills

TypeScriptNext.jsGitHub

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