Software Engineer III, Agent Quality and Efficiency Optimization

Google; Warszawa; On-site; PLN 280,000 - 287,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google is seeking software engineers to design agent optimization systems within the Google Cloud AI Research ecosystem. You will work on turning diverse insights into persistent improvements, building auto-formed skills and smart model routing across the Agent Development Kit and Vertex AI serving stack.

The role requires 2 years in ML/LLMs or applied AI, plus experience in software development with languages like Go, C++, or Python. Competitive Poland-based compensation and equity are offered.

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.

Responsibilities

• Design, build, and ship agent optimization systems that turn multiple sources of insights 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.

Skills

Programming languages

Education

Bachelor’s degree or equivalent practical experience

Master's degree or PhD in CS/ML

Job description

• 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.

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.

About The Job

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. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Poland: zł280000 - zł287000 (PLN) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .