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# Founding Engineer - Full Stack

- **Company:** Y Combinator
- **Location:** San Francisco, CA, United States
- **Salary:** $150,000.0 - $250,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Python (Programming Language), Productivity Software, ReactJS, Large Language Models, Agentic-AI, Terraform
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/16_f9a0d0054

## About the Role

* 1+ years of experience on engineering teams (2+ preferred), including at least one stint longer than 18 months in a strong startup or scale-up environment.
 * Full-stack proficiency - comfortable owning customer-facing UI through to infrastructure.
 * Hands-on experience with React, Python, Terraform, and AWS.
 * Experience building agentic systems or working with LLMs in production.
 * Strong product sense and design instincts; able to translate customer needs into shippable features.
 * Startup experience or self-driven personal projects that demonstrate initiative and high agency.
 * Must be a US citizen or have US work authorization (no visa sponsorship for candidates outside the US).

Nice to Have

 * Scientific or academic research background.
 * Direct customer-facing experience in a technical role.
 * Enthusiasm for adopting AI-powered coding and productivity tools.

## Description

A Y Combinator-backed AI startup is looking for a Founding Engineer - Full Stack to join a small founding team at the ground floor. The company operates at the intersection of AI research, product, and engineering - building tools that help brands understand and shape how large language models perceive and represent them. This is a rare opportunity to co-define engineering culture and practices from day one in a fast-moving, high-impact environment.
What You'll Do

 * Own problems end-to-end - from customer insight and product requirements all the way through research and infrastructure.
 * Maintain a tight feedback loop with customers and the founding team; ship features quickly and iteratively.
 * Help define and shape the engineering team's culture, patterns, and best practices.
 * Continuously explore and reinvent how engineering teams work effectively alongside AI agents.