Senior AI Product Engineer

Harnham; San Francisco (CA); Hybrid; USD 160,000 - 250,000; Full time

Benefits offered by this job

Equity

Job summary

Harnham is seeking a Senior AI Product Engineer for Agentic System & Production AI in the Bay Area. Hybrid work with 3 days in office; you will build autonomous AI agents and end-to-end systems across LLMs, APIs, orchestration, and applications.

You will own the lifecycle—from prompting and evaluation to debugging and scaling—driving production-ready solutions and tangible outcomes for enterprise workflows. Equity is included.

Qualifications

• 4–8 years as a backend or full-stack engineer.
• Experience shipping production AI or agent-based systems.
• Hands-on experience with LLMs in real products.
• Solid foundation in system design and distributed systems.
• Experience evaluating and improving AI performance.
• High ownership mindset in fast-moving environments.
• Ability to clearly explain technical decisions and tradeoffs.

Responsibilities

• Build AI agents that act autonomously across real workflows.
• Develop end-to-end systems across LLMs, APIs, orchestration, and applications.
• Own the full lifecycle: prompting, evaluation, debugging, and scaling.
• Turn ambiguous problems into structured, production-ready solutions.
• Partner with product to deliver outcomes, not just features.
• Continuously improve systems through testing and iteration.

Skills

Backend development

Distributed systems

LLMs in production

Agent-based systems

System design

Tools

LangChain

LangGraph

Bedrock

Job description

SENIOR AI PRODUCT ENGINEER - AGENTIC SYSTEM & PRODUCTION AI

BAY AREA (HYBRID / 3 DAYS IN OFFICE)

$160,000 - $225,900 (SENIOR) | $225,000 - $250,000 (SENIOR II) + EQUITY

The Opportunity

Join a high-growth team building production, autonomous AI systems for enterprise use.

This isn't experimental AI-you'll create real agentic products that take action, drive outcomes, and automate complex workflows end-to-end.

You’ll operate in a 0 1 environment with full ownership, shaping product direction, system architecture, and customer experience.

What You’ll Do

• Build AI agents that act autonomously across real workflows
• Develop end-to-end systems across LLMs, APIs, orchestration, and applications
• Own the full lifecycle: prompting, evaluation, debugging, and scaling
• Turn ambiguous problems into structured, production-ready solutions
• Partner with product to deliver outcomes, not just features
• Continuously improve systems through testing and iteration

What We’re Looking For

• 4-8 years as a backend or full-stack engineer
• Experience shipping production AI or agent-based systems
• Hands-on experience with LLMs in real products
• Solid foundation in system design and distributed systems
• Experience evaluating and improving AI performance
• High ownership mindset in fast-moving environments
• Ability to clearly explain technical decisions and tradeoffs

Nice to Have

• RAG experience
• LangChain, LangGraph, Bedrock, or similar tools
• Startup or 0 1 product experience
• Agent workflows or orchestration systems
• LLMOps or AI infrastructure experience

Why This Role

• Build real AI products, not prototypes
• Work on systems that take action and deliver outcomes
• High ownership from idea scale
• Direct influence on AI strategy and architecture
• Strong team + meaningful equity

If you're excited about building AI that actually does things-not just talks about them, this is a rare opportunity to shape the future of how enterprise systems operate.