AI Engineer (LLM / Agentic Systems)

Location: San Francisco, CA (On-site)

Employment Type: Full-Time

Benefits: 100% medical, dental, vision; MacBook Pro + peripherals

We are hiring an AI Engineer to own the intelligence layer. This is not a demo or prototype role. This is production AI engineering.

About The Company

Client builds production AI agents that replace manual coordination work inside billion-dollar enterprises. Our agents operate at scale — processing thousands of transactions, making classification decisions, routing exceptions, and learning from human feedback.

We deploy intelligent agents directly into enterprise systems such as:

Salesforce

NetSuite

ServiceNow

Workday

You will:

Design and ship agentic systems used in real enterprise workflows

Build evaluation and reliability systems

Handle hallucinations, edge cases, cost constraints

Optimize multi-agent orchestration in production

You should already have built LLM-powered systems that operate beyond the playground stage.

What You’ll Own

Agent architecture design

Retrieval systems (RAG, context management)

Tool calling and multi-step reasoning

Multi-agent orchestration

Prompt engineering and reliability optimization

Evaluation and quality infrastructure

Cost-performance tradeoff optimization

Exception routing and human-in-the-loop feedback loops

Must-Have Requirements

3+ years software engineering experience

2+ years building production LLM or AI systems

Hands-on experience with agentic workflows

Experience with tool calling, retrieval, and multi-step reasoning

Strong prompt and context engineering skills

Experience building evaluation frameworks for AI outputs

Strong Python and backend fundamentals

Experience handling hallucinations, edge cases, and cost control

Based in San Francisco

Nice to Have

Experience integrating AI into enterprise SaaS systems

Experience with vector databases

Experience designing HITL systems

Experience with scaling AI workloads