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# Full-Stack AI Engineer

- **Company:** CHIP'S GENERAL CARPENTRY, LLC
- **Location:** San Jose, CA, United States
- **Salary:** $150,000.0 - $350,000.0
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Artificial Intelligence, Electronic Design Automation, Python (Programming Language), Machine Learning, Software Engineering, TypeScript, Workflow Management Systems, Pytorch, Large Language Models, Prompt Engineering, Backend, Information Technology, Machine Learning Operations, Front End Software Development
- **Published:** August 9, 2026
- **Apply:** https://www.adzuna.com/details/5832922805

## About the Role

* B.S. or M.S. in Computer Science or a related field.
 * Experience building full-stack software, with strong fundamentals in software engineering and machine learning.
 * Familiarity with modern ML workflows (e.g., Python, PyTorch, LLMs, etc.) and frontend development tools (e.g., TypeScript, JavaScript).
 * Interest in electronic design automation (EDA), RTL, or hardware-software co-design (prior exposure is a plus, but not required).
 * Excellent communication skills and comfort working directly with customer engineering teams.
 * Willingness to travel for on-site customer visits and deep integration work.
 * A self-starter who thrives in a fast-paced, mission-driven startup environment.

## Description

We are looking for multiple Full-Stack AI Engineers with a strong Computer Science foundation to work closely with engineering teams at some of the world's leading chip companies. You'll be part of a cross-functional mission to create forward-looking agentic AI technologies, help customers integrate ChipAgents into their workflows, deliver real-world impact, and continuously improve our agentic AI platform based on field feedback. This is a deeply technical, customer-facing role ideal for someone excited to get out of the lab, visit customers, and solve practical problems with real usage data., * Own the technical success of ChipAgents deployments from start to finish: onboarding, integration, scaling, and feedback.

 * Interface directly with customer engineering teams to understand their workflows and identify high-leverage opportunities for AI automation.
 * Prototype and refine full-stack solutions-from backend models to frontend experiences-that embed agentic AI into EDA workflows.
 * Collaborate with our core engineering team to improve models, tooling, and infrastructure based on field insights.
 * Create internal and customer-facing resources (docs, tutorials, dashboards) that scale our support and enable rapid adoption.
 * Stay hands-on with code: contribute to infrastructure, prompt engineering, workflow orchestration, and feedback-driven improvement.


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