Join Google's pioneering team as a Senior Software Engineer on the AI Platform, shaping the future of how billions connect and interact with information. This role is pivotal in developing advanced AI systems that drive Google's talent lifecycle and enterprise productivity. You will contribute to cutting-edge AI platform tooling and data solutions, empowering internal engineering teams to deliver high-quality AI capabilities efficiently.

Design and deploy robust production-grade code for multi-agent workflows, orchestration engines, and dynamic decision-making pipelines. Implement AI frameworks to accelerate product development and ensure scalable, high-precision agentic applications. Build optimized, high-throughput model serving pipelines and real-time execution environments. Integrate continuous feedback loops and automated testing, evaluation, and observability frameworks for AI development methodologies. Adopt distributed tracing and data lineage architectures into generative AI pipelines, collaborating with stakeholders to translate challenges into effective AI solutions. Lead feature design reviews, establish coding standards, and write maintainable code in languages like Python and Go.

A Bachelor's degree or equivalent practical experience is required, along with five years of software development experience. Candidates must possess three years of experience in end-to-end Machine Learning, including model deployment, evaluation, optimization, data processing, and debugging. Familiarity with AI/ML technologies or infrastructure, and experience building simulation orchestration environments, multi-agent frameworks, and tools are essential. Experience with tracing, logging, and monitoring for agentic workflows is also necessary. A Master's degree or PhD in Computer Science or a related technical field, five years of experience with data structures and algorithms, and one year in a technical leadership role are preferred qualifications.