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Software Engineer, Agentic AI and LLMs, Google Ads

Google
Irvine, USA
Junior · 2+ years experience
Onsite
USD 147000-210000 / year
Discovered Today
dartjavajavascriptpythontypescript

Full Job Posting

Responsibilities

  • Write product or system development code using Java, Python, Go, or C++ to build and optimize high-throughput backend services, storage schemas, APIs, and data pipelines for massive-scale GenAI systems.
  • Collaborate with peers and stakeholders through technical design and code reviews to ensure best practices amongst available technologies, focusing on style guidelines, checking code in, accuracy, testability, and efficiency.
  • Contribute to existing technical documentation or educational developer content and adapt engineering specs based on system/program updates, prompt engineering variations, and internal and external user feedback loops.
  • Triage issues and debug/track/resolve production anomalies by analyzing the sources of issues and their impact on hardware, network, or service operations, system latency, and output quality.
  • Implement solutions in specialized ML areas utilizing ML infrastructure to contribute to model optimization, data processing, and Tier 2 on-call reliability.

Minimum qualifications:

  • Bachelor’s degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages (e.g., Java, Python, Go, or C++), or 1 year of experience with an advanced degree.
  • 1 year of experience with one or more of the following: Speech/audio systems, reinforcement learning (sequential decision making), ML infrastructure, or a distinct specialization in another machine learning field.
  • 1 year of experience with end-to-end Machine Learning (including model deployment, model evaluation, data processing, and debugging).

Preferred qualifications:

  • Master's degree or PhD in Computer Science, Computer Engineering, Machine Learning, or related technical fields.
  • 2 years of experience with data structures or algorithms in either an academic or industry setting.
  • 1 year of experience with LLMs, prompt design/optimization (e.g. APO), or modern agentic orchestration frameworks.
  • Experience developing accessible technologies that comply with global usability and accessibility standards.
  • Experience with full-stack development across back-end services, database schemas, APIs, and front-end frameworks (e.g., Dart, JavaScript, or TypeScript).

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