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Judgment Labs — Full-Stack Engineer

United StatesUnited States·San Franciscomid
EngineeringFullstack Developer
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Quick Summary

Key Responsibilities

simulated environments for stateful evals, trajectory replay, and monitors for unintended behavior. Make long, multi-step reasoning trajectories understandable in minutes.

Technical Tools
EngineeringFullstack Developer

Responsibilities

~1 min read
  • Build interfaces that make large-scale, parallel agent investigations legible — turning thousands of production traces and a wide range of failure signals into a single actionable answer.
  • Build the platform for verifying agent changes: simulated environments for stateful evals, trajectory replay, and monitors for unintended behavior.
  • Make long, multi-step reasoning trajectories understandable in minutes.
  • Own the improvement loop end to end, turning production data into datasets, judges, and regression checks.
  • Build and maintain the SDK and a terminal-first developer experience.
  • Own core platform infrastructure: workspaces, permissions, billing, usage, and limits.

Tech stack: Full-stack (data layer through UI), SDK development, terminal-first tooling, agent/LLM infrastructure.

Requirements

~1 min read
  • 3–7 years of full-stack engineering experience, comfortable owning systems from the data layer through the UI
  • Hands-on experience building with LLMs or AI agents (or a clear, demonstrated drive to ramp fast)
  • A track record of shipping and scaling production systems end to end
  • Comfortable working directly with customers to understand needs and solve real problems (~30% of the role)
  • Strong problem-solving in fast-moving, ambiguous environments
  • Clear, direct, persuasive communication across technical and non-technical audiences
  • Based in San Francisco or open to relocating; in-office 5 days a week

Nice to Have

~1 min read
  • Prior work on evals, observability, or agent behavior-monitoring products
  • Strong engineering pedigree from a respected product company; top-tier infrastructure experience is a bonus
  • Prior forward-deployed or solutions engineering experience
  • Early-stage / 0-to-1 startup experience as an early hire
  • A technical edge beyond delivery — coding competitions, research, or similar
  • Founder background or a clear founder-to-be trajectory
  • Full-stack comfort with real backend and infrastructure depth

What We Offer

~1 min read
Own a real product surface end to end — from customer conversations to shipped features.
Join a small, high-velocity, well-backed team working at the frontier of AI agent reliability.
Competitive compensation up to $300K + equity, with a strong benefits and perks package.
  • Location — San Francisco, CA
  • Work policy — On-site, 5 days/week; relocation supported
  • Compensation — $200,000–$300,000 + equity
  • Visa sponsorship — Considered case-by-case for exceptional candidates; primary scope is candidates who don't require sponsorship
  • Employment type — Full-time

Location & Eligibility

Where is the job
San Francisco, United States
On-site at the office
Who can apply
US

Listing Details

First seen
August 11, 2026
Last seen
September 2, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
51%
Scored at
August 11, 2026

Signal breakdown

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davidjoseph-coJudgment Labs — Full-Stack Engineer