Senior Software Engineer: AI

What you'll do:

• Ship full-stack features end to end, handling everything from the backend data models to the final user experience.


• Make AI coding agents a central part of how you work to increase your velocity while maintaining high standards.


• Drive the technical direction of your projects, including architectural decisions and technical specs.


• Collaborate with Product and Design to scope out work, balancing quick wins with long-term stability.


• Write code that is easy to scale and maintain, and help raise the quality of the codebase through thoughtful reviews and testing.


• Teach the team how to better leverage AI tools by sharing what you have learned and setting best practices.


• Write clear documentation for both technical and non-technical audiences.


• Guide and mentor other engineers, helping them improve their skills and ship code with confidence.


• Talk directly with customers and executives to turn complex industrial challenges into clear engineering tasks.

• 5+ years of professional software engineering experience shipping production software on a team using standard best practices (code review, CI/CD, testing).


• A strong full-stack background, with the ability to build polished frontends and robust backend services.


• Daily experience with AI coding tools like Cursor, Claude Code, or Copilot, and a good sense of their strengths and weaknesses.


• Deep knowledge of at least one statically-typed language. We use Go, TypeScript, and C#, but we care more about your engineering depth than the specific language.


• A history of delivering complex projects on time and the ability to explain the technical choices you made along the way.


• Great instincts for prioritization and the ability to take an ambiguous problem and find a clear solution.


• Comfort making architectural decisions and providing technical guidance to other engineers.


• Excellent communication skills, with the ability to explain technical details to both engineers and non-technical stakeholders.


• Eagerness to dig into a complex domain. You don't need to know PLCs on day one, but you should be excited to learn how factories actually run.


• Previous experience adding AI-powered features into a product

• Experience at a growth-stage, venture-backed startup, scaling tools from small betas to thousands or millions of users.


• Experience with our stack or adjacent technologies: TypeScript / Node.js, React, Go, C#, Python, PostgreSQL, AWS.


• Experience building developer tools or working on Git internals, CI/CD, or DevOps platforms.


• Background in industrial automation, OT/IT, manufacturing software, IoT, or developer tooling.


• Interest in manufacturing and hardware innovation.

This listing is from ats_lever. View original listing ↗