Applied AI Engineer
Zof AI - San Francisco, CA
Hiring: Applied AI Engineer Company: Zof AI Location: San Francisco, CA Job Posted Time: 2026-09-02 17:59:19 Employment Type: Full-time Target Skills & Keywords: AI Engineering, LLM, RAG, Agents, GenAI, Retrieval, Agent Orchestration, Multi-Agent Frameworks, Prompt Engineering, Context Engineering, Evals, TypeScript, Python, Node.js, Postgres, Fine-tuning, Model Adaptation Experience: - Deep, hands-on experience building production features on top of LLM APIs is required. - Experience shipping LLM-powered features to production. - Experience as a GenAI Engineer, LLM Engineer, RAG Engineer, or Algorithm Engineer is directly relevant. - Nice to have: Experience with multi-agent frameworks or agent orchestration systems. - Nice to have: Experience building or using eval harnesses. - Nice to have: Experience with fine-tuning or model adaptation. Required Skills: - Design and build product features on top of frontier model APIs. - Build and tune retrieval and RAG pipelines end to end. - 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. - Collaborate with product and engineering to ship reliably and fast. - Own model-layer systems from design through production. - Strong software engineering foundation. - Working knowledge of retrieval, RAG, and agent patterns. - Fluency with the modern model API and tooling ecosystem. - Judgment about quality, cost, and latency trade-offs. - Clear written and verbal communication. - Comfort operating in a fast-moving environment. - Evidence of building high-quality technical work. - Nice to have: Experience with TypeScript, Python, Node.js, Postgres, or similar technologies. Qualifications: - Candidates who want to contribute directly to the development of ambitious AI products in a high-performance environment. - Ideal candidate has shipped LLM-powered features to real users and treats quality, cost, and latency as engineering constraints, not afterthoughts. - On-site role in San Francisco, CA. - Mid to Senior level. Compensation: - Competitive salary - Plus meaningful equity Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!