Senior Software Engineer: AI

• 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.