> Markdown version of [/jobs/ext/4706501-full-stack-engineer](https://www.wearedevelopers.com/jobs/ext/4706501-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:** Recruiting from Scratch - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Experienced - **Salary:** $230,000 - $300,000 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, Software Debugging, Programming Tools, Python (Programming Language), PostgreSQL, Node.Js, Reliability Engineering, Next.js, Systems Integration, TypeScript, ReactJS, Reliability of Systems, Backend, Agentic-AI, Build Tools, Front End Software Development, Api Design - **Published:** November 13, 2026 - **Apply:** https://www.careerbuilder.com/job-details/full-stack-engineer-san-francisco-ca--b3dc18df-e4d1-47ba-8b54-2fa9797e80aa ## About the Role Artificial Intelligence (AI) Agents, Production Systems, Reliability Engineering, Debugging Skills, Reliability Analysis, Workflow Analysis, Product Development, Artificial Intelligence (AI), Systems Engineering, Problem Solving Skills, We are looking for a backend-leaning Full Stack Engineer who enjoys building great software, working through ambiguity, and taking ownership of problems end-to-end. The role offers the opportunity to work across APIs, data models, internal systems, and polished product experiences while building tools that AI engineering teams rely on., * 5-8 years of experience in full-stack product engineering, with a backend-leaning profile. Confirm experience range with the hiring team, as the initial role description also states 2-5 years. * Has shipped production products end-to-end. * Strong backend engineering fundamentals and experience building APIs, data models, and internal systems. * Comfortable working across the full stack, including frontend product interfaces. * Experience building high-quality software at reputable technology companies or Series B+ startups. * Comfortable operating in a fast-paced, ambiguous startup environment. * Strong ownership mindset and ability to take projects from customer discovery through implementation and iteration. * Enjoys building developer-facing products and solving complex engineering problems. Bonus Points * Experience with AI agents or agentic systems. * Experience building developer tools. * Experience with observability, monitoring, or debugging products. * Experience working with production AI systems and agent traces. * Familiarity with evaluation, verification, and replay workflows., * TypeScript * React * Next.js * Python * Node.js * PostgreSQL Engineering Requirements * Strong full-stack product engineering experience. * Backend-leaning engineering capabilities. * Experience building APIs and data models. * Experience developing complex product interfaces. * Ability to work across frontend, backend, and platform systems. * Experience shipping production software end-to-end. * Strong engineering fundamentals and ability to work independently. ## Description * Build core product experiences across investigation interfaces, evaluation workflows, debugging tools, verification, and replay systems. * Develop interfaces that help engineers understand complex agent behavior, investigate failures, and identify patterns across production interactions. * Build intuitive product surfaces that make complex technical workflows easier to understand and use. * Contribute to the development of tools that help AI teams improve the reliability of their production agents. 2. Own Problems End-to-End * Talk directly with customers to understand where their agents fail and what problems they need to solve. * Define product requirements, identify solutions, build features, and iterate based on customer feedback. * Take ownership of projects from problem discovery through implementation and delivery. * Work through ambiguous problems independently and turn them into practical product solutions., * Design and implement APIs, data models, internal systems, and product interfaces. * Build platform infrastructure including workspaces, permissions, billing, usage systems, and SDKs. * Contribute to terminal-first developer experiences and integrations. * Build scalable, maintainable systems that support complex agent investigation workflows. 4. Build AI-Powered Investigation Systems * Contribute to the development of an agent that runs large-scale investigations across production traces. * Build systems that help investigate agent failures, tool errors, behavioral regressions, instruction drift, and edge cases. * Work with production agent traces and turn complex interaction data into actionable insights. * Collaborate with AI teams to understand agent behavior and translate their challenges into product improvements. 5. Work Directly with AI Engineering Teams * Work closely with teams building and deploying production AI agents. * Understand how their agents behave, where they fail, and what makes them unreliable. * Translate real-world customer problems into product and engineering decisions. * Help build tools that allow developers to debug, evaluate, and improve their agents.