Founding Engineer (Full-stack)
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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.
🌍 Remote from anywhere in the globe
Workplace, Culture & Diversity
Corporate culture is essential to allow the organization to differentiate itself. In terms of image on the one hand, it has strengths both internally and externally to consumers. It is indeed a source of cohesion and motivation of employees and it limits conflicts. With customers, it conveys a positive image and can develop a feeling of closeness to the company or even become a criterion of choice.
About Fractal Talent
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