Python Engineer (London Area)

Generative Engineering is bringing AI design into the real world by enabling generative engineering design for physical products. Our focus is creating millions more engineers globally and giving them the data and knowledge necessary to make efficient decisions quickly, one of the main challenges of the physical engineering industry today.

Our team has a background in scaling software to millions of users and successfully disrupting industries, creating Unicorn's and Decacorn's along the way. We combine the advantages of an early-stage start-up with the ability to focus on creating high-quality, high-impact systems, without the distraction of fundraising.

We are looking for a Python Engineer to join the team, one who understands the reality of pace and ability needed to build genuine products that scale. Please show success in your past positions.

Must Haves

• Any experience of SWE, we do not care how many years you’ve been working, if your code is great, if you show potential, and if you can apply properly, you’ve got an interview
• Knowledge of modern / larger-scale Python
• Experience in the FastAPI, Starlette, Pydantic suite (or similar) in Production
• Experience in at least one statically typed OOP language (Java / C++ etc)
• Some knowledge of Functional Programming (e.g. ML / Haskell / F# etc)

Nice to Have

• A ComSci degree from a top rated uni
• Experience in a fast-paced startup environment
• Task orchestration frameworks (e.g. Luigi, Dask, Airflow + Celery etc)
• Modern Async Python including asyncio / AnyIO
• Experience owning or being involved longer-term in an open-source project
• Demonstrable Rust experience or keen interest
• Nix experience (inc Nix Flakes)
• Data pipelines and big data tech
• Docker: both building but running too
• Wide AWS and infrastructure knowledge, including production support
• Scientific computing e.g. Numpy / scipy / pandas
• Just state the word 'Salmon' anywhere in your application, just to prove you can read a job advert.

We aim to improve all our colleagues' abilities and careers by exposing them to the bare bones of a tech start-up whilst giving them the opportunity to support the company in any way. If our people continuously improve, so does our product.