Staff Software Engineer, Applied AI Engineering

• Architect secure, highly cost-effective distributed systems and MLOps pipelines on Google Cloud Platform (GCP) for fine-tuning and serving frontier models.
• Translate AI/ML research into production-grade services, optimizing model inference latency, throughput, and large-scale TPU/GPU fleet utilization.
• Design robust, self-improving multi-agent architectures and cognitive planning engines capable of executing complex, guardrailed workflows.
• Shape Google Cloud’s AI roadmap by feeding operational insights and technical gaps from incubation projects directly back to core engineering.
• Mentor executive engineers across teams, driving a culture of rapid prototyping, rigorous system design, and technical excellence.

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
  
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• Experience building advanced GenAI (multi-step LLM, multi-agent systems, or model context protocol (MCP) integrated with orchestration frameworks).
• Working knowledge of leverage AI/ML, automation, and advanced technologies to optimize workflows and enhance efficiency.
• Demonstrated ability to lead and deliver on complex, ambiguous projects. Excellent problem-solving, investigative, and technical leadership skills.
  

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
  
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).