Full-Stack Engineer Intern
San Francisco, CA at a glance
- Rent
- #2 of 51$2,680/mo+46% vs US avg
- Weather
- #17 of 51295 mild days0 hot · 0 cold
- Income tax
- #1 of 5113.3% top rateCalifornia
What you need
- React/Next.js and TypeScript foundation
- Shipped complex web apps or browser extensions
- Figma or Framer design systems familiarity
What you'll do
- Build fullstack browser extension interfaces from research prototypes
- Build end-to-end features using React/Next.js, Python, and SQL
- Create beautiful and intuitive frontend systems
We're looking for engineers who can turn research prototypes into production-ready systems. You'll work at the intersection of browser automation, agent infrastructure, and intuitive UX that make complex agent behavior understandable and controllable.
What You'll Build
- Fullstack browser extension interfaces based on research prototypes.
- End-to-end features using React/Next.js, Python, and SQL.
- Beautiful and intuitive frontend systems.
Requirements
- Strong foundation in React/Next.js and TypeScript.
- Experience building and shipping complex web apps and/or browser extensions.
- Familiarity with design systems like Figma or Framer.
- Preferred: Proof of meaningful open-source contribution.
- Preferred: Strong UI/UX or design portfolio.
Sample Projects
- Reusable tool call and output components for LLM-generated responses.
- Building efficient indexing, search, and memory layer architecture.
- Developing security and guardrails to approve and deny agent requests.
- Integrating third-party platforms (e.g. Slack, Notion, Gmail) to enable workflows.
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About Thirdlayer
ThirdLayer is the learning and alignment layer for enterprise AI. We continuously ingest and structure messy organizational context, complex operational processes, and siloed, permission-sensitive data, then grade agents against the outcomes each company cares about. Every interaction becomes feedback that helps agents improve over time. Companies use ThirdLayer to power their internal agents or embed it into the AI products they’re building. We give agents the context, evaluations, and learning loops they need to stay aligned with each organization and deliver better outcomes with every run.
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