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Senior Software Engineer, AI Platform

Google
Hyderabad, IND
Senior · 5+ years experience
Onsite
Discovered 2 weeks ago

Full Job Posting

Responsibilities

  • Design, write, and deploy production-grade code for multi-agent workflows, tool-use orchestration engines, and dynamic decision-making pipelines.
  • Deploy AI frameworks and tools, to enable velocity in product development and scalability of agentic applications that require high-precision and safe execution under complex real-world conditions.
  • Build a high-throughput model serving pipelines and real-time execution environments optimized for latency, reliability, and scale. Integrate continuous, data-motivated feedback loops into AI development methodologies. Construct automated testing, evaluation, and observability frameworks to assess agent coverage, monitor regressions, and safeguard product quality across end-to-end workflows.
  • Adopt, integrate distributed tracing, data lineage architectures, telemetry into high-volume generative AI data pipelines. Partner with product owners, domain experts to translate challenges into AI solutions.
  • Lead feature design reviews, establish coding standards for agentic pipelines. Write maintainable code (e.g., Python, Go etc) to build robust platform abstractions.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • 3 years of experience with end-to-end Machine Learning (e.g., model deployment, model evaluation, optimization, data processing, debugging).
  • Experience with AI/ML technologies or infrastructure.
  • Experience in building simulation orchestration environments, multi-agent frameworks and tools.
  • Experience with adopting tracing, logging, and monitoring for agentic workflows.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or a related technical field.
  • 5 years of experience with data structures and algorithms.
  • 1 year of experience in a technical leadership role.
  • Experience developing accessible technologies.

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