About the role
We’re looking for someone who loves building things, solving problems, and architecting systems that will scale. The goal is to dramatically reduce lead times, improve quality, and enable more efficient manufacturing at scale.
This is a founding software engineering role: you won't inherit a playbook, you'll help write it. One day you might be shipping a new product feature end to end, the next building a multi-agent pipeline that reads an engineering drawing, tuning prompts and evals against production data, or standing up the infrastructure that lets us move faster.
What you’ll do
- Ship new product features end to end - design, build, test, deploy
- Build and refine AI pipelines, multi-agent systems, and the evals that keep them honest in production
- Own backend services and APIs from data model to endpoint (Python / FastAPI / Postgres)
- Build data pipelines for model training, evaluation, and continuous improvement
- Run experiments, internal and in production, to find what actually wins and retains users
- Make the architecture and technical calls that scale with the company
Who we’re looking for
- We care more about what you've built than where you trained or how many years you've logged.
- High ownership and a strong bias toward shipping: you see what needs to happen and make it happen
- Has owned a production system end to end: designed it, shipped it, kept it running
- Has built and deployed real AI/ML features in production, and knows how to measure their reliability
- Strong full-stack engineer, fluent in Python / FastAPI
- Comfortable with LLM orchestration and agent architectures
- Thrives in ambiguous, early-stage environments
Nice to haves
