Software Engineer, Applied AI Agents, Professional Intelligence
Google DeepMind · Mountain View, CA, USA
Frontier labonsite$147k–$210k
At a glance
Highlights
- Build agent skills that search, read and cite large private corporate knowledge.
- Make every agent result auditable back to sources with grounding checks.
- Ship production agent systems used daily by professionals in high-stakes work.
What they offer
- 15% bonus target
- equity
- benefits
Ideal candidate
An owner-minded software engineer who loves building and shipping reliable AI products for professionals in high-stakes domains and cares deeply about verifiability, measurement, and iterating from user feedback.
Requirements
- Bachelor's degree in Computer Science or equivalent practical experience
- Experience in Python or TypeScript with modern toolchains and frameworks
- Experience building and shipping LLM-powered applications with prompting, tool use, RAG and agent orchestration
- Experience designing evaluations for LLM or ML systems to drive quality improvements
- Experience owning production software end-to-end from design to monitoring and iteration
- Experience using coding agents to develop code and tests to specification
Lab profile
About Google DeepMind
Google's AI lab building frontier models like Gemini to advance science and general intelligence.
What they build
- Gemini
- Gemma
- AlphaFold
Known for
- Frontier foundation models and GenAI
- Large-scale training with JAX, PyTorch, TensorFlow
- Model evaluation and deployment expertise
- Responsible frontier AI research
Key facts
- Founded in 2010
- Headquartered in London, UK
- Part of Google (Alphabet)
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