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# Full-Stack Engineer

- **Company:** Transparent Search Group
- **Location:** San Francisco, CA, United States
- **Salary:** $200,000
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Files, Design of User Interfaces, Human-Computer Interaction, Large Language Models, Data Layers
- **Published:** November 10, 2026
- **Apply:** https://www.careerbuilder.com/job-details/full-stack-engineer-san-francisco-ca--e093f853-7521-41d2-952e-acbb18264925

## About the Role

Artificial Intelligence (AI) Agents, Team Lead/Manager, Customer Relations, User Interface/Experience (UI/UX), Data Sets, Billing, Production Systems, Problem Solving Skills, Persuasion Skills, Engineering, * 3-7 years of experience building and scaling end-to-end production systems, from data layer to UI

 * Hands-on experience building with LLMs or agents, or the drive to get there fast
 * Comfort working directly with customers (about 30% of the role)
 * Strong problem-solving in fast-changing, ambiguous environments
 * Clear, direct, persuasive communication
 * Based in San Francisco or willing to relocate; in person 5 days a week, * Evals, observability or agent behavior-monitoring products
 * Engineering pedigree from a strong product or infrastructure company
 * Forward-deployed or solutions engineering experience
 * Early-hire 0-to-1 startup experience or a founder background

## Description

The client is hiring a Full-Stack Engineer to own the product experiences and agent infrastructure that make the agent improvement loop clear and actionable for engineering teams. You will talk to customers, decide what to build, build it and iterate until it is great, across the data layer, the UI, agent-swarm interfaces, verification platforms and the SDK. About 30% of the role is customer-facing., * Shape how the Judgment Agent runs large parallel investigations across thousands of production traces and merges findings into one actionable answer.

 * Build the platform for verifying agent changes: hosted simulated environments, trajectory replay and monitors for unintended behavior.
 * Make long agent traces, tool calls and failures understandable in minutes.
 * Build the swarm UX for watching and redirecting parallel investigations.
 * Own the improvement loop that turns production trajectories into datasets, judges and regression checks.
 * Build the SDK and terminal-first experience, and platform infrastructure such as workspaces, roles, permissions, billing and limits.