Staff AI Engineer

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Palo Alto / $250000 - $350000 annum

INFO

Salary
SALARY:

$250000 - $350000

Location

LOCATION

Palo Alto

Job Type
JOB TYPE

Permanent

STAFF AI ENGINEER

Palo Alto, California, United States (On-site / Hybrid)


The Role

We're hiring a Staff AI Engineer to build and scale production-grade GenAI systems powering enterprise AI applications.

This is a high-ownership IC role focused on LLM systems, agent frameworks, and production AI infrastructure. You'll take foundation models and turn them into scalable, reliable systems used for copilots, automation, and internal workflows.

You'll work across architecture and implementation in a fast-moving environment with rapid production iteration.


What You'll Build

  • Production LLM-powered services and applications
  • Enterprise copilots and conversational AI systems
  • Text-to-code and natural language SQL systems
  • Agent frameworks and tool-using AI systems
  • Workflow automation powered by foundation models
  • API layers for LLM integration across systems
  • Scalable GenAI infrastructure and deployments
  • CI/CD pipelines for AI services

What You Bring

  • 8-12+ years software or ML engineering experience
  • Strong experience building production LLM or ML systems
  • Deep understanding of foundation models and LLM APIs
  • Strong backend and distributed systems experience
  • Experience with AWS production environments
  • Kubernetes / containerized deployment experience
  • Strong systems thinking (latency, scaling, reliability trade-offs)

Strong Preference For

  • ML engineering background over traditional full-stack
  • Experience building GenAI or agentic systems in production
  • Strong analytical background (PhD-level NLP/CV a plus)

Why This Role

  • Build and scale core GenAI infrastructure with real impact
  • High ownership from architecture through production
  • Fast iteration cycles and strong technical autonomy
  • High visibility with senior technical leadership
  • Opportunity to shape foundational AI systems at scale
  • Opportunity to shape foundational AI systems at scale

CONTACT

Calum Reid

Senior Manager

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