About You
You are an engineer who ships, and you have a real interest in emerging ML & AI technology. You communicate complex ideas simply and effectively, and love collaboration.
You will have industry experience working on fast (and fast-moving) backend applications. You are interested in applying this experience to developer tools especially.
You likely have a strong background in Python, although language is secondary to your ability to ship and learn as we build AI-powered software for running software.
Role
Use your expertise to build products and features for the people that run and operate software
Ship product quickly, from prototype to production
Lead a team from a technical perspective to establish machine learning best practices and influence software engineering culture
Stay updated with emerging technologies, tools, and practices in the ML field.
Work on data-related tasks, including data mining and cleaning, to ensure the quality and reliability of our data sources.
Work with ML-focused staff on fine-tuning ML models; using Retrieval Augmented Generation; testing and improving on LLM prompting and configuration
Skills
Strong skills in Python, Ruby, or similar. Knowledge of Django is a plus although not required.
Knowledge of, and interest in, using ML and AI technology at the application level. We don’t expect you’ve done this work in production-at-scale (yet), but you should have experience working with LLMs and other models
Superb communication skills— you’ll need to convey your ideas clearly to the team and the public
Exposure to popular architectural patterns of scalable, data-driven applications
We're a small, remote-first team trying to change the way DevOps teams work. We believe a great developer experience is the foundation of great engineering teams. We're passionate about building tools that help people do their jobs better.