davidjoseph-co~1mo ago
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Judgment Labs — Full-Stack Engineer
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
freshnesssource trustcontent trustemployer trust
External application · ~5 min on davidjoseph-co's site
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