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# Founding Engineer - Baton AI

- **Company:** Pear VC
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Web Development, Text Processing, Web Browsers, Python (Programming Language), Node.Js, Next.js, TypeScript, Web Applications, ReactJS, Large Language Models, Prompt Engineering, Agentic-AI, Build Management, Functional Programming, Elixir
- **Published:** October 27, 2026
- **Apply:** https://www.careerbuilder.com/job-details/founding-engineer-baton-ai-austin-tx--9138258b-82bd-426a-b7dc-afddceb76e05

## About the Role

Artificial Intelligence (AI), Artificial Intelligence (AI), Automation, Onboarding, High Tech Industry, Application Programming Interface (API), Artificial Intelligence (AI) Agents, Web Browsers, Leading Edge Technology, Technical Delivery, * 3+ years of full-stack engineering experience and love working with React and Typescript.

 * Proficiency in modern web application development - React/NextJS and Node.js. Understanding of Python and Elixir/functional programming is a plus.
 * Experience building rich-text editors (think Notion) or excited to take on that challenge.
 * Experience (or strong interest) in building AI/LLM-powered apps and workflow automation tools.
 * A product-minded engineer who cares about clean code and great UX.
 * Problem-solver who thrives on breaking down ambiguity and delivering fast.
 * Excited to work in person with us in San Francisco.

## Description

* Own core systems - Design and build key parts of our full-stack web application, API infrastructure, and AI-driven automation platform.
 * Work on cutting-edge tech - Work on complex technical challenges involving AI agents, prompt engineering, eval, monitoring, API, and browser automation.
 * Shape the product - Collaborate with early customers and the founding team to define our technical roadmap and deliver features that create real impact.
 * Move fast, learn fast - Prototype, experiment, and ship quickly in a high-trust, low-bureaucracy environment.