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:

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