AI Product Engineer

We use language models to solve real business problems and our users pay us real money. It turns out that’s a lot of fun! It also means there’s a lot of work to do — when our users see what SafetyKit can do, they want more.

We’re hiring fast, thoughtful, adventurous full-stack engineers to help make those users happy. You don’t need to be an AI or ML expert. If you can talk to users and build/ship fast, we want to talk.

Here’s what one SafetyKit engineer said about working here:

I joined three months ago and love it—the office is beautiful, our customers are companies even your grandma has heard of, and there’s free lunch 🙂

SafetyKit has infrastructure for writing, testing, and evaluating custom policies (e.g. what can/can’t you sell on Stripe/eBay/Upwork?). We use all that tooling every day, which makes the tooling awesome: every engineer pushes upgrades that make their own lives easier.

The team is super knowledgeable and the work is rarely boilerplate: in my first month I helped design and code internal tooling, built a demo for one of the biggest online marketplaces, cut costs by 80% for an existing client, ran data science work in Python, implemented new frontend designs, tried a new RAG library, and bought cute stationary on the company card. You can work on all kinds of different projects, too, or bring a really focused skill set to what you’re most excited about.

Responsibilities

• Doing the plumbing that makes the magic happen. We need web scrapers, document ingestors, LLM eval tools, and more, and they all need to be fast and reliable
• Working with our users to onboard their complex, nuanced policies into SafetyKit. This is one of the best parts of the job — applying your verbal and business IQ to language models is super fun.
• Quickly experimenting with and deploying new AI technologies. New open-source vision model lands that outperforms the state-of-the-art? We need to test, integrate, and ship it today

Your skills

• You’re fast and confident in Typescript (or able to get there quickly)
• You love Postgres and SQL (or are able to do so quickly)
• You like serverless AWS services like Lambda and Step Functions
• You love talking to users and learning about their weird and complex business problems
• You’re excited to work together in our San Francisco office five days a week

Bonus Points

• Prior experience as an early/founding engineer at a start-up
• Experience with language models and vision models

We want you to join our team! There’s so much our users need us to do, so much cool AI product to build, and so many prompts to engineer.

We keep our interview process minimal:

• 15min intro call with our founders to talk about your background and for us to pitch you on SafetyKit
• 30min remote coding interview (think Leetcode). This part is fun. Who's ready for some depth-first search in Python??
• On-site in our office in San Francisco. Meet the team, do some architecture white boarding and draw some boxes, do some more coding and some APIs, and have a really good lunch.
• We make decision/offer the day of your onsite.