Hi, we're The Browser Company 👋 and we're building a better way to use the internet.

Browsers are unique in that they are one of the only pieces of software that you share with your parents as well as your kids. Which makes sense, they're our doorway to the most important things — through them we socialize with loved ones, work on our passion projects, and explore our curiosities. But on their own, they don’t actually do a whole lot, they’re kind of just there. They don’t help us organize our messy lives or make it easier to compose our ideas. We believe that the browser could do so much more — it can empower and support the amazing things we do on the internet. That’s why we’re building one: a browser that can help us grow, create, and stay curious.

To accomplish this lofty task, we’re building a diverse team of people from different backgrounds and experiences. This isn’t optional, it’s crucial to our mission, as we need a wide range of perspectives to challenge our assumptions and shape our browser through a bold, creative lens. With that in mind, we especially encourage women, people of color, and others from historically marginalized groups to apply.

About The Role

As a Staff Software Engineer on our AI Foundations team at the Browser Company, you’ll create the systems, tools and infrastructure that unlock rich product experiences in Dia as we scale. You'll build the architecture that powers Dia's AI capabilities, enabling our team to prototype and ship innovative browser automation and AI-driven features rapidly. You’ll build the core systems that make our AI assistant accurate, trustworthy, and fast.

The AI Foundations team owns the evaluation and prompt infrastructure, client and platform integrations, and the service‑level orchestration that powers product quality and iteration speed. You’ll create the tooling that lets anyone measure quality, catch regressions before they ship, and safely evolve prompts and models over time.

Overall you will...

Own and evolve the AI Foundations systems that integrate LLM outputs into product experiences, partnering closely with ML and Product Engineers to turn model output into reliable, production-quality features.
Build and operate infrastructure for evals and prompt engineering, making it simple for teams to author, run, and interpret evals while safely versioning and rolling out prompts via tools, direct feedback, and product integrations.
Orchestrate and optimize LLM usage across the service layer, standardizing formats, streaming, error handling, and cost controls, and closing the loop between evals, auto-tuning, and real-world performance.
Partner across product and infrastructure teams to define requirements, SLAs, and APIs for AI features, turn dogfooding and live usage into evaluable scenarios, and build clear workflows and documentation that help teams ship confidently.
Elevate engineering quality and team impact by leading high-impact projects, improving reliability and observability across systems, mentoring engineers, and owning planning and on-call for AI Foundations services as needed.

Technical Projects You’ll Shape With Us…

Evals Platform & Playground: Build a unified experience for editing prompts, running queries, and launching evals, w