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.