Senior Staff Software Engineer, AI Foundations
About The Position
As a Senior 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. 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.
Requirements
- 8+ 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.
Responsibilities
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
