Staff Software Engineer, AI Foundations

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.

As a Staff Software Engineer on our AI Foundations team at the Browser Company, you’ll create the systems, tools and infrastructure that 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.

• 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.

• Evals Platform & Playground: Build a unified experience for editing prompts, running queries, and launching evals, with telemetry, dashboards, and alerts to monitor performance and catch regressions early.

• Diagnostics & Auto-Tuning Systems: Develop tooling that surfaces expected vs. actual behavior, clusters failures, and automatically refines prompts to improve routing, tool use, and response quality.

• Data & Observability Infrastructure: Connect evals to dogfooding data for reproducible playback and analysis, enabling insight into behavior of our complex AI systems.

• 6+ years of experience building and leading high-craft software systems, with deep expertise in backend or infrastructure engineering.

• Hands-on experience building with LLMs and integrating AI outputs into production systems; curiosity to go deep on how models work without doing model training.

• Proven ability to design, ship, and operate large-scale, reliable systems that support rapid experimentation and iteration. You've worked on large, complex codebases and understand how to improve systems to make them easier to understand, debug, and maintain.

• Strong technical leadership and mentoring experience; you elevate engineering quality through thoughtful code reviews, clear communication, and pragmatic execution.

• You’re pragmatic, motivated by nebulous problems, and excited to work in a startup environment with quick product validation cycles.

• We’re primarily focused on hiring in North American time zones and require that folks have 4+ hours of overlap time with team members in Eastern Time Zone.
  

• Our total compensation package for full-time employees includes base salary, equity, and benefits. The annual salary range for this role is $225,000- $275,000 USD. The actual salary offered will vary based on experience level and interview performance.

• Benefits: We also offer a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. To learn more, visit go.atlassian.com/perksandbenefits.

• Location: We’re a remote-friendly company and can hire in any country where Atlassian has a legal entity. If you live in New York (or want to visit), you’re welcome to work from our beautiful office in Williamsburg.

The Browser Company is an ambitious team of close to 100 people (and growing!) who are passionate about building great products. We are a remote-first, distributed team, with the option to work from office in Brooklyn, New York. We strongly support diversity and encourage people from all backgrounds to apply. 
🚙 To read more about what we value as a company, check out Notes on Roadtrips on our blog.