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Software Engineer, Applied AI Agents, Professional Intelligence, DeepMind

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

At DeepMind our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Bachelor's degree in Computer Science, or equivalent practical experience
  • Experience in Python or TypeScript with modern toolchains and frameworks
  • Experience building/shipping applications powered by LLMs: prompting, tool use or function calling, retrieval-augmented generation, and agent orchestration
  • Experience designing evaluations for LLM or ML systems and using them to drive measurable quality improvements
  • Experience owning production software end-to-end, from design and implementation to deployment, monitoring and iteration on user feedback
  • Experience using coding agents to develop code and tests to specification
More about this role
  • Act like an owner ask questions, propose solutions, build consensus, and drive execution from concept to delivery.
  • Build agent capabilities design and implement skills, plugins and typed tools for LLM agents that search, read, reason over and cite large private corporate.
  • Make outputs verifiable build grounding and citation checks, access-aware retrieval, and automated review of agent-authored knowledge, so every result can be audited back to its sources.
  • Lead evaluation build evaluation suites and datasets with subject matter experts, measure factual accuracy, citation fidelity and multi-step reasoning, and use the results to drive improvements.
  • Ship to production strong code quality, testing, CI/CD and monitoring for agent systems used daily by professionals.
  • Bachelor's degree in Computer Science, or equivalent practical experience.
  • Experience in Python or TypeScript with modern toolchains and frameworks.
  • Experience building/shipping applications powered by LLMs: prompting, tool use or function calling, retrieval-augmented generation, and agent orchestration.
  • Experience designing evaluations for LLM or ML systems and using them to drive measurable quality...

Read the full posting on Google's site ↗

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