Founding Engineer (Full-stack)

Fractal TalentSan Francisco, CAJob.boobjavljeno 29. 10. 2026.
Obavezno:ExpressFrontendBackendFullstackAI

We’re supporting a client with the recruitment requirement outlined below. If your recruiting expertise and networks align with the role, please apply to express your interest.

Once approved to work on the opportunity, you’ll receive the full brief, including the client name, role details, and commercial terms.

Role Details

Location: San Francisco, CA

Industry: AI Software

Salary: $150,000–$300,000

Equity: 0.1%–2%

Employment Type: Full-time

Work Arrangement: In-office, 5 days per week

Experience: 1–7 years

Visa / Sponsorship: Available

Team Size: 1–10

About the Company

An early-stage AI software company building a platform that acts as an internal workforce for businesses. Its AI agents can take ownership of complete business workflows, such as accounts receivable and scheduling, through tools like Slack and email. Teams can also build internal applications on the platform.

The company has raised approximately $6M in seed funding, generates around $4.5M in annual revenue, and is currently profitable. It also processes hundreds of thousands of agent traces each week to identify model failure modes, improve product performance, and support research for AI labs.

About the Role

The company is hiring its first full-stack founding engineer to increase engineering capacity and reduce the founders' involvement in day-to-day product and infrastructure work.

This is a broad, hands-on role spanning infrastructure, backend systems, and user-facing product development. The initial priority is improving the usefulness and reliability of AI agents through strong infrastructure and thoughtful product decisions.

The engineer will also help with customer onboarding, technical questions, and product guidance when needed.

Responsibilities

  • Build and improve agent infrastructure and user-facing product experiences.
  • Develop systems for agent memory, recommendation systems, and long-running execution.
  • Build internal applications and workflows that enable agents to complete end-to-end business tasks.
  • Make architecture, product, and design decisions across the platform.
  • Improve reliability and usability of agent-powered workflows.
  • Help customers understand product capabilities and best practices when needed.
  • Work closely with the founders to ship product improvements quickly.

Requirements

  • Strong infrastructure engineering background combined with full-stack generalist capabilities.
  • Experience building and shipping production software across backend and frontend layers.
  • Hands-on experience building AI agents or AI-enabled workflows that users rely on.
  • Understanding of agent reliability, memory, long-running execution, and evaluation systems.
  • Strong architecture skills and ability to explain technical trade-offs.
  • Good product and design judgment, with attention to detail.
  • Ability to work autonomously and take ownership of deliverables.
  • Comfortable communicating with customers and participating in customer-facing discussions when needed.
  • Ability to adapt quickly and experiment with new AI tools and workflows.

Ideal Candidate Profile

  • Typically 1–7 years of experience, with at least one year out of school preferred.
  • Earlier-career candidates may be considered with exceptional founder experience, standout internships, or other strong evidence of engineering ability.
  • Experience at a strong engineering organization is valued.
  • Founder experience or participation in programs such as YC, Z Fellows, SPC, or the Thiel Fellowship is a plus.
  • Demonstrable excellence through competitive achievements, standout technical work, or high-impact ownership.
  • Personal projects or portfolios that demonstrate polished UI/UX and strong product taste are valuable.
  • Kind, collaborative, intellectually curious, and comfortable operating in a small, fast-moving team.

Benefits & Perks

  • Medical, dental, and vision insurance.
  • Daily lunch.
  • 401(k).
  • Unlimited PTO.
  • Unlimited AI spend.

Interview Process

  • Founder Screen – 30 minutes:
  • Technical Interview – approximately 60 minutes
  • Work Trial or Take-Home Assessment (the format depends on candidate availability)
  • Reference Checks.
  • Offer.