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Staff Software Engineer, Agentic, Optimization, Recursive Self-Improvement

Google · United States · On-site

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About Google

Learn more about Google. Explore our innovative AI products and services, and how we. Backed by Kleiner Perkins.

About the role

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Bachelor’s degree or equivalent practical experience
  • 8 years of experience in software development
  • 5 years of experience with ML design and with LLM/multimodal agent architectures
  • Experience utilizing agentic AI frameworks or developer kits to build and deploy autonomous AI systems
  • Experience integrating generative AI tools or LLM interfaces into workflows and designing metrics for the AI tools
More about this role
  • Partner with senior leads to architect closed-loop RSI pipelines that autonomously diagnose failure modes, refine instructions/trajectories, synthesize targeted training/eval data, and verify gains without manual intervention.
  • Investigate and build automated multi-agent systems that audit, compress, and de-conflict complex model context—maximizing token efficiency and inference speed while preserving behavioral and safety guardrails.
  • Bridge inference-time context engineering with model post-training (SFT/RL) to distill complex rules into model weights.
  • Advance automated optimization methods for production multimodal and reasoning systems.
  • Help define the multi-quarter roadmap across Engineering and Research teams, establishing rigorous automated evaluation gates.
  • Bachelor’s degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience with ML design and with LLM/multimodal agent architectures.
  • Experience utilizing agentic AI frameworks or developer kits to build and deploy autonomous AI systems.

Experience in automated LLM evaluation (e.g., LLM-as-a-Judge, multi-turn user simulation, or Pareto optimization).

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Read the full posting on Google's site ↗

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