Applied AI Engineer

Zof AI is seeking an Applied AI Engineer to build product features on top of frontier model APIs. This role owns the model-facing layer of our products: retrieval and RAG pipelines, agent planning and orchestration, multi-agent frameworks, and the context engineering that makes AI systems reliable in production. If you have worked as a GenAI Engineer, LLM Engineer, RAG Engineer, or Algorithm Engineer, this is that discipline at Zof AI.

The ideal candidate has shipped LLM-powered features to real users and treats quality, cost, and latency as engineering constraints, not afterthoughts.

Engineering
· Mid to Senior
· Full-time
· On-site
· San Francisco, CA

• 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.

• Experience shipping LLM-powered features to 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.

• Experience with multi-agent frameworks or agent orchestration systems.
• Experience building or using eval harnesses.
• Experience with Type Script, Python, Node.js, Postgres, or similar technologies.
• Experience with fine-tuning or model adaptation.

Deep, hands-on experience building production features on top of LLM APIs is required