Senior Software Engineer

SENIOR AI PRODUCT ENGINEER – AGENTIC SYSTEMS & PRODUCTION AI

BAY AREA (HYBRID / 3 DAYS IN OFFICE)

$160,000 – $225,900 (SENIOR) | $190,000 – $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
• Help define shared AI platform architecture
• 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
• Strong Python or TypeScript skills
• 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
• Fast-paced, high-impact environment
• 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.