
Founding Engineer
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
- Expert in React/Next.js, TypeScript, Python
- Deep browser internals experience
- Proven rapid prototype to production track record
- AI/ML infra or agentic systems experience (preferred)
What you'll do
- Build core agent components: memory, context compression, protocols
- Develop high-performance state management and real-time UI observation
- Create scalable infrastructure for browser-native AI
We're creating the third layer of interaction — a personalized AI action layer that lives across all your workflows. If that excites you, and you’re a world-class infrastructure expert, please apply.
Why Dex Matters
- Flow is everything. Every tab switch, every UI reload, every wait for an AI handoff kills momentum.
- The future of productivity is collaborative AI. Dex is an active, real-time partner embedded directly in your browser—the place where your work actually lives.
- Context makes or breaks a product. You need systems that understand where you are, what you're doing, and what should happen next.
What You'll Build
- Core agent components, including memory stores, context compression, inter-agent protocols, planning and tool use.
- High performance state management and real-time UI observation systems.
- Scalable infrastructure for browser-native AI.
Requirements
- Expert in React/Next.js, TypeScript, and Python.
- Deep browser internals experience.
- Proven rapid prototype to production track record.
- Preferred: Prior experience with AI/ML infra or agentic systems.
Sample Projects
- Translating browser inputs (voice, keyboard and mouse inputs, tab changes, DOM) into actionable workflow graphs.
- Agentic systems that predict and execute users’ next steps in complex workflows.
- A searchable, self-updating memory store for personalized user flow paths.
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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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