> Markdown version of [/jobs/ext/4617014-ai-software-engineer](https://www.wearedevelopers.com/jobs/ext/4617014-ai-software-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). --- # AI Software Engineer - **Company:** ZOF, LLC - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automation of Tests, Programming Tools, Python (Programming Language), PostgreSQL, Node.Js, Prism (Software), Software Product Management, Next.js, Software Engineering, TypeScript, ReactJS, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25303_61c544e13620fd8a8d8639ea767b5592 ## About the Role * Strong software engineering foundation. * Experience building and shipping production systems. * Experience shipping LLM-powered features to production. * Working knowledge of retrieval, RAG, and agent patterns. * Ability to work across the stack. * Judgment about quality, cost, and latency trade-offs. * Clear written and verbal communication. * Comfort operating in a fast-moving environment. Nice to have * Experience with TypeScript, React, Next.js, Node.js, Python, Prisma, Postgres, or similar technologies. * Experience with multi-agent frameworks or agent orchestration systems. * Experience building or using eval harnesses. * Experience with test automation, developer tools, or quality systems. ## Description * Design, build, and ship production-quality AI product features across the stack. * Build product features on top of frontier model APIs, including retrieval and RAG pipelines. * Design agent planning, tool use, and multi-agent orchestration. * Own prompt and context engineering as a disciplined, tested practice. * Wire evals into the development loop so quality is measured, not assumed. * Optimize the cost, quality, and latency of AI features in production. * Use AI development tools to increase velocity while maintaining quality. * Own important systems from concept through production.