Full-Stack AI Engineer

Job Title

Full-Stack AI Engineer

Role Summary

Work on agentic AI products that integrate with semiconductor engineering workflows. The role is cross-functional and customer-facing: you will deploy, integrate, and iterate on AI-driven tooling used in RTL design, simulation, and verification.

This is a hands-on engineering role that combines backend model work, frontend development, and direct collaboration with customer engineering teams to deliver production deployments.

Experience Level

Mid-level. The posting does not specify a years-of-experience requirement.

Responsibilities

Key responsibilities include technical ownership of customer deployments and building end-to-end solutions that embed AI into EDA workflows.

• Own deployment lifecycle: onboarding, integration, scaling, and feedback collection.
• Work directly with customer engineering teams to map workflows and identify automation opportunities.
• Prototype and refine full-stack solutions spanning backend models, orchestration, and frontend UX.
• Collaborate with core engineering to improve models, tooling, and infrastructure based on field data.
• Produce documentation, tutorials, and dashboards for internal use and customer enablement.
• Stay hands-on with code: infrastructure, prompt engineering, workflow orchestration, and iterative model improvement.
• Travel to customer sites for deep integrations and on-site support as required.

Requirements

We list must-have qualifications first, followed by helpful but optional skills.

Must-have

• Experience building full-stack software with strong software engineering fundamentals.
• Practical experience with modern ML workflows (e.g., Python, PyTorch, LLMs) and production ML integration.
• Frontend development experience with TypeScript or JavaScript.
• Excellent verbal and written communication; comfortable working directly with customer engineering teams.
• Willingness to travel for on-site customer visits and integration work.
• Self-starter mindset and ability to operate in a fast-paced startup environment.

Nice-to-have

• Prior exposure to electronic design automation (EDA), RTL, or hardware-software co-design.

Education Requirements

B.S. or M.S. in Computer Science or a related field.

About the Company

Company: ChipAgents

Headquarters: San Jose, CA, United States

ChipAgents is a Series A startup developing agentic AI workflows for chip design and verification, leveraging generative AI and large language models to assist RTL design, simulation, and EDA workflows for semiconductor and cloud customers.