### About the Role This is a full-stack individual contributor role at a fast-moving AI/ML startup (~20 people) building a multi-agent simulation engine that predicts how real users respond to digital products — before anything ships. Think of it as replacing guesswork in product decisions with behavioral simulation at scale. As a Member of Technical Staff (Full-Stack), you'll own the bridge between complex backend systems — multi-agent simulations, evaluation pipelines — and the frontend experiences customers use to decide what to build next. You'll ship on a bi-weekly cadence and help define engineering best practices as the team scales. ### What You'll Do - Core platform: Build and evolve the Python-based platform where customers design experiments, run simulations, explore behavioral outputs, and make product decisions. - Agent-to-product translation: Turn raw agent behavior into product functionality — bridging "what the system did" and "what the user should do next." - Observability tooling: Build tooling that makes the simulation system understandable, debuggable, and trustworthy for end users. - UX definition: Help define how users interact with simulations and surface insights to drive decisions. - End-to-end ownership: Own features from backend through frontend to user impact; ship iterations bi-weekly and help establish engineering standards as the team grows. ### What We're Looking For Required - 8+ years of experience building production systems end-to-end across the full stack (backend and frontend) - Strong proficiency in Python; comfortable building platform-level features for data-intensive, simulation-driven products - Hands-on experience with agentic or LLM-powered systems, or AI-driven product features - Demonstrated ability to own features end-to-end and ship on short, iterative cycles - Product engineering mindset — you build for user outcomes, not just technical correctness - Humility, coachability, and low ego; you take and give feedback openly and thrive in collaborative, cross-functional environments - Individual contributor focus — no people-management responsibilities at this stage - Must be eligible to work in the United States without visa sponsorship Nice to Have - Experience building internal tooling or complex product workflows - Background in highly regulated or data-sensitive environments - Non-traditional or self-taught engineering background — diverse paths are welcome ### Compensation & Benefits - Salary: $180,000 – $200,000 USD annually - Equity participation - Competitive benefits package ### Location This role is based in San Francisco, CA (hybrid on-site schedule at SF HQ). Candidates must be located in or willing to relocate to the San Francisco Bay Area. Visa sponsorship is not available.