Product Engineer

Large Language Models and AI more generally are the next computing platform. Millions of developers will be building with this technology and at Humanloop you'll have a chance to work at the frontier and shape the future.

You'll get the chance to work really hard on a problem that matters alongside super-smart people who are passionate about what they do. The environment is fast-paced with new features being shipped every week or even every day. The customers we get to work with are themselves inspiring AI startups who are also trying to use this amazing new technology to build products and services that were previously science fiction.

Skills: JavaScript, Python, React

A Product Engineer is a product-focused full stack Software Engineer.

We’re a small, smart and hard working team, working in a very fast moving space at the frontier of AI. It's crucial that you can quickly work throughout the stack to deliver product end-to-end while caring deeply about solving underlying customer needs. Meaningful impact is guaranteed.

It doesn’t matter what languages and tools you know when you join us, but it does matter that you can write clean, effective code and craft elegant solutions. We aim for a clean, simple modern stack, which is currently:

• Python backend (FastAPI, Postgres)

• TypeScript frontend (Next.js, React, Tailwindcss)

• AWS for most of our infrastructure

• You care deeply about customer needs and solving them with product.

• You're excited by our mission and the potential of machine learning and artificial intelligence.

• You are able to, or want to be able to, work at every level of the stack.

• You’re excited by being one of the first employees in an early-stage company where you can have autonomy and impact.

• You want to grow. The success of our company is a function of the people in our team. Your growth rate will be directly causal to Humanloop's growth rate. We spend a lot of time thinking about each other’s success paths.

• You get excited about learning new things, writing blog posts and going to conferences to talk about all things product and engineering.

We think that people with amazing ability can come from all sorts of backgrounds, not necessarily prestigious schools or companies. You primarily need to prove that you can write excellent, clean code and care deeply about building great product. You can demonstrate this through your own projects, OSS contributions or experience at other companies. When looking at your contributions, we value quality over quantity.

We find that in person time allows us to move faster, learn from each other and have more fun. Everyone is in the office on Tuesdays and Wednesdays. On other days you can choose to work from home or in the office. Our London office has most of product and engineering, and our new SF office is primarily focused on GTM.

Our current stack is

• A Python backend with pytorch for our deep learning framework

• Next/React for our frontend

• AWS for most of our infrastructure

We're building software tools to help developers and founders evaluate how well their LLM apps are working and improve them through finetuning and experiments. By using Humanloop, companies can build much more defensible products on top of models like GPT-3.