> Markdown version of [/jobs/ext/4624790-full-stack-engineer](https://www.wearedevelopers.com/jobs/ext/4624790-full-stack-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack Engineer - **Company:** True Talent Solutions LLC - **Location:** San Francisco, CA, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Software Debugging, Programming Tools, Python (Programming Language), Node.Js, Next.js, TypeScript, ReactJS, Large Language Models, Backend, Agentic-AI - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25303_faa867d67caf2b18aebb9f48d362dd95 ## About the Role * Typically 0 to 5 years of full-stack product engineering experience, with a backend focus. * Experience shipping end-to-end products, influencing product decisions, and supporting production software. * Strong skills in Python, TypeScript, or Node.js, plus experience with React or Next.js. * Ability to design clean APIs, model data effectively, build polished product interfaces, and debug across the stack. * Experience with AI agents, LLM-powered products, agent evaluation or debugging, or developer tools is valuable. * Comfort working in a fast-paced startup environment and collaborating in person. ## Description Join a product engineering team building software that helps organizations improve the reliability of AI agents in production. This backend-leaning full-stack role combines hands-on engineering with customer input to shape useful product experiences., * Build product experiences for investigating agent behavior, evaluating results, debugging trajectories, and replaying production activity. * Work directly with customers to understand where their agents fail, turn those needs into product decisions, and iterate on solutions. * Develop APIs, data models, internal systems, and user-facing product features across the stack. * Build agent capabilities that support large-scale investigations of production traces. * Design platform features such as workspaces, permissions, billing, usage systems, SDKs, and terminal-first developer tools. * Collaborate with teams deploying AI agents and use their feedback to improve the product.