Generative AI Engineer

Zof AI, Inc.; San Francisco (CA); On-site; USD 140,000 - 230,000; Full time

Benefits offered by this job

MacBook Pro

Premium AI development tools

Cursor Ultra

Claude Code Ultra

OpenAI Codex Max

High-performance AI product env

Job summary

Zof AI in San Francisco, CA, is hiring a Generative AI Engineer to build product features on frontier model APIs. This is a full-time, on-site role that shapes the model-facing layer of our products, including retrieval and RAG pipelines, tool use, and context engineering.

The ideal candidate ships LLM-powered features to real users and treats quality, cost, and latency as core engineering constraints in production.

Qualifications

• 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.

Responsibilities

• 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.

Skills

LLM in production

Software engineering

Retrieval & RAG

Agent patterns

Model API tooling

Quality vs cost trade-offs

Communication

Fast-paced environment

High-quality work

Multi-agent frameworks

Tools

TypeScript

Python

Node.js

PostgreSQL

Job description

Compensation

• Competitive salary
• Plus meaningful equity

San Francisco, CA

Position

Generative AI Engineer

Full-time, On-site

Zof AI is hiring for this role in San Francisco, CA. This is a full-time opportunity for candidates who want to contribute directly to the development of ambitious AI products in a high-performance environment.

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

About this Role

Zof AI is seeking a Generative 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.

Responsibilities

• 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.

Requirements

• 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.

Nice to have

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

What we provide in San Francisco

• MacBook Pro
• Premium AI development tools
• Cursor Ultra
• Claude Code Ultra
• OpenAI Codex Max or equivalent advanced AI tooling
• Access to a high-performance AI product environment
• Close collaboration with leadership, engineering, and customers
• Opportunity to work in the San Francisco AI ecosystem
• Wellness and productivity support where applicable
• Competitive startup environment
• High ownership
• Direct product impact

Benefits may depend on role and final offer terms.