San Francisco (FiDi), CA · On-site · Full-time
Compensation: $200,000–$350,000 + competitive equity

About the Company

An AI infrastructure company building behavior-monitoring tooling for autonomous AI agents in production — surfacing behavioral anomalies like instruction drift and context retrieval loss that traditional observability misses. Hundreds of teams building agents rely on the platform to understand how their systems behave post-deployment, cluster patterns across workflows, and pinpoint where reliability breaks down. Recently raised $30M+ across two rounds in the past five months, backed by leading venture and angel investors. ~19-person team.

The Role

Build high-taste products for self-learning agents. The role is majority agent work on a full-stack baseline. Candidates can come from a front-end/design engineering background or an AI engineering background, but both must have prior experience building and designing agents, ideally at a startup with 0-1 product ownership.

What you'll be doing

• Build high-taste agent products that pair powerful behavior with consumer-grade UX polish
• Design and ship agent capabilities from 0 to 1 inside a fast-scaling product surface
• Contribute across the full stack as needed, with the majority of work on agent infrastructure and product
• Translate customer feedback on agent behavior into concrete product iterations
• Help raise the bar on product taste and craft as the team grows

Tech stack: TypeScript (full-stack)

Requirements

• 3-7 years engineering
• Agent or Applied AI background required
• 0-1 product ownership comfort
• Front-end/design engineer or AI engineer
• TypeScript fluency
• Evals experience heavily preferred

Green Flags

• Shipped agents in production at a startup. Can walk through context design, tool design, reasoning loop tradeoffs.
• Strong product engineering range. Has shipped customer-facing product features end to end, not just backend infrastructure or research artifacts.
• Demonstrably strong communicator. Customer calls, internal demos, technical writing, public talks, or comparable signal of comfort explaining complex AI concepts.
• Prior evals, observability, or behavior-monitoring product experience. Direct adjacency to our space, heavily preferred.
• Prior 0-1 product ownership at a seed or Series A startup. Built agents from a blank page.
• High-intensity background signal: olympiad medals, debate competitions, competitive athletics, founder experience, or comparable high-output indicators.

Red Flags

• No prior agent or Applied AI experience. The bar is production agent work.
• Front-end or design engineering only without agent depth.
• Backend or infrastructure only without product-shipping experience or customer-facing range.
• Weak customer-facing skills. The seat is customer-facing, candidates who want heads-down only are not the fit.
• Traditional ML or model-training background without agent system experience.
• Cannot or will not work 5 days in person at the FiDi office.

Why Join

• Funded momentum: $30M+ raised across two rounds in five months
• Build agent products 0-to-1 on a fast-scaling surface
• Founding-track experience on a small, fast-moving team
• Full benefits, Equinox membership, private chef

Details

• Location: San Francisco (FiDi), CA
• Work policy: On-site, Monday–Friday
• Compensation: $200,000–$350,000 + equity
• Visa sponsorship: H-1B
• Employment type: Full-time