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Job Description

  • Design, build, and ship agent optimization systems that turn multiple sources of insights (like eval results, production traces, etc.) into persistent improvements, auto-formed skills, recipes for prompt and tool tuning, per-task cost and quality telemetry, smart model routing, durable and deferred execution, and continuous optimization, across the Agent Development Kit and Vertex AI serving stack.
  • Measure quality, cost, and latency per task, and use that data to drive engineering work.
  • Shape the team's optimization roadmap, and help set technical direction for how enterprise agents get better and cheaper over time.
  • Build benchmark optimization techniques on both open source benchmarks and real first-party and enterprise agent workloads to prove quality and efficiency wins hold up together.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages such as Go, C++ or Python, or 1 year of experience with an advanced degree.
  • 2 years of experience with machine learning, large language models (LLMs), or applied AI.

Preferred qualifications:

  • Master's degree or PhD in Computer Science, Machine Learning, or a related technical field.
  • Experience building, deploying, or optimizing LLM applications or agentic frameworks (e.g., Agent Development Kit, LangGraph, LangChain).
  • Experience with one or more of the following: model serving optimization, inference caching, model routing or LLM cost and latency profiling.
  • Experience instrumenting, benchmarking, or evaluating ML systems in production.
  • Experience with technical leadership, mentoring engineers, or driving cross-team engineering initiatives.
  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages such as Go, C++ or Python, or 1 year of experience with an advanced degree.
  • 2 years of experience with machine learning, large language models (LLMs), or applied AI.
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  • Role Software Engineer III, Agent Quality and Efficiency Optimization
  • Experience 3-4 years
  • Education Any
  • Work type On-site
  • Location Poland
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

All jobs at Google

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Job Overview
Eligibility
Poland Right to work in Poland required.
Workplace
On-site
Job Posted:
2 weeks ago
Job Type
Full Time
Education
Any
Experience
3-4 years

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