Research Engineer

Note to Candidates:

• All resume's without a LinkedIn URL will automatically be rejected
• Resumes with LinkedIn URL must prove their identity buy communicating via the provided LinkedIn URL
• Fake candidates and imposters please stay away

About The Client

Our Client builds infrastructure for Agent Behavior Monitoring (ABM). While traditional observability focuses on logging exceptions and latency, our ABM surfaces behavioral anomalies, such as instruction drift and context retrieval loss, in production at scale.

Hundreds of teams building autonomous agents rely on Judgment to understand how their systems are behaving post-deployment. Instead of reactive incident triage, they cluster patterns across conversations and workflows, correlate regressions to specific interaction types, and pinpoint where reliability breaks down in their usage context.

They’ve raised $30M+ across two rounds in the past five months. Their investors include Lightspeed, SV Angel, Valor Equity Partners, Nova Global, Chris Manning, Michael Ovitz, Michael Abbott, Cory Levy, Kevin Hartz, and others.

About the Role:

They are hiring an Agent Product Engineer to build high-taste products for self-learning agents. This role is crucial for scaling the product to meet customer demand and maintaining a reputation for exceptional user experience in the rapidly evolving AI agent space. The right person is passionate about improving agent behavior and can contribute to a product that is both powerful and a joy to use. The role is majority agent work with a baseline of full-stack engineering required. 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, preferably at a startup with 0-1 product ownership.

• 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 focused 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 past 19 people

Requirements

• 3-7 years of engineering experience
• Prior experience building and designing agents (Applied AI or agent engineering background), production work, not hackathon projects
• Solid product engineering capabilities, ships features end-to-end
• Strong customer-facing communication skills , comfortable explaining complex technical concepts, and building trust with technical and non-technical stakeholders
• Comfort with 0-1 product work and ambiguity
• Basic full-stack engineering ability
• Based in SF or willing to relocate, 5 days in office in FiDi

• Prior evals, observability, or behavior-monitoring product experience (heavily preferred)
• TypeScript fluency
• Prior Series A or seed startup experience
• Strong design taste at consumer-grade product polish levels
• Front-end or design engineering range on top of agent work