AI Software Engineer

Zof; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

MacBook Pro

Premium AI development tools

Cursor Ultra

Claude Code Ultra

OpenAI Codex Max or equivalent

Job summary

Zof in San Francisco is seeking an AI Software Engineer to build AI products end to end, from the product surface down to the model-facing layer. This role works across the stack: shipping product features, and building the retrieval pipelines, agent orchestration, and context engineering that make AI systems reliable in production.

If you have worked as a Software Engineer, AI Engineer, GenAI Engineer, or LLM Engineer, this is that discipline at Zof.

Qualifications

• Strong software engineering foundation.
• Experience shipping production AI features.
• Experience with retrieval, RAG, and agent patterns.
• Ability to work across the stack.

Responsibilities

• 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.

Skills

AI software

LLM features

Retrieval/RAG

Cross-stack dev

Quality-cost-latency

Clear communication

Fast-paced

Tools

TypeScript

React

Next.js

Node.js

Python

Prisma

Postgres

Job description

Compensation

Competitive salary

Plus meaningful equity

Location & Employment

San Francisco, CA

Full-time

Senior

On-site

About This Role

Zof is seeking an AI Software Engineer to build our AI products end to end, from the product surface down to the model-facing layer. This role works across the stack: shipping product features, and building the retrieval pipelines, agent orchestration, and context engineering that make AI systems reliable in production. If you have worked as a Software Engineer, AI Engineer, GenAI Engineer, or LLM Engineer, this is that discipline at Zof. The ideal candidate is AI-native, has shipped LLM-powered features to real users, and treats quality, cost, and latency as engineering constraints, not afterthoughts.

Responsibilities

• 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.

Requirements

• 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.

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.

AI EngineeringFull StackLLMAgentsHigh Ownership