Senior/staff Machine Learning Engineer, General Agents, Enterprise Genai

Scale

San Francisco, CA, US
Base: $264,800 - $331,000 usd; equity: included ba...
On-site
5+ years building ml systems
Production-quality python code
Llm and agentic system design
The role involves designing end-to-end agent systems that combine LLM reasoning, tool use, and memory to solve recurring enterprise problems

Job Summary

  • The role involves designing end-to-end agent systems that combine LLM reasoning, tool use, and memory to solve recurring enterprise problems.
  • Candidates will build scalable architectures capable of deployment across many customers with varying data and constraints.
  • Compensation includes base salary ranging from $264,800 to $331,000 USD along with equity and comprehensive benefits.

Matching Summary

The role involves designing end-to-end agent systems that combine LLM reasoning, tool use, and memory to solve recurring enterprise problems.

Salary

Base: $264,800 - $331,000 USD; Equity: Included based on approval; Benefits: Health, dental, vision, retirement, PTO

Skills & Requirements

Must-have

  • 5+ years building ML systems
  • Production-quality Python code
  • LLM and agentic system design
  • System integration with tools and APIs
  • Evaluation frameworks for agents

Nice-to-have

  • Experience with agent orchestration layers
  • Cloud deployment at scale
  • Model fine-tuning methods like LoRA
  • Observability for LLM systems
  • Multi-agent pattern implementation

Key Requirements

  • Bachelor's or Master's degree in CS/ML/AI
  • 5+ years experience in production ML
  • Strong engineering fundamentals

Work Rights

Not specified

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