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Build and maintain production-grade GenAI agents in Python, integrating LLM tool-calling, RAG pipelines, and real-time speech/data systems for enterprise clients.
Build and maintain full-stack Python/React apps that integrate AI-driven security tools, automate workflows, and scale enterprise systems in a hybrid Minneapolis role.
Build and maintain full-stack Python/React apps that integrate AI-driven security tools, automate workflows, and scale enterprise services in cloud environments.
Build and deploy GenAI/ML models end-to-end on GCP, containerize with GKE, and implement MLOps pipelines for scalable AI solutions in a regulated pharma context.
Software Engineer III at Google Cloud Compute Infrastructure designs, develops, tests, deploys, and maintains software solutions for large-scale systems, including AI and infrastructure at scale, using technologies like C++, Java, or Python.
Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations…
Leads technical projects in Google’s AI and Infrastructure teams, bridging engineering and executive stakeholders to deliver large-scale computing solutions like TPUs, Vertex AI, and global networking while managing cross-functional teams and program governance.
Build and deploy production-grade AI solutions for enterprise clients using LLMs, RAG, and agent frameworks, owning the full lifecycle from discovery to optimization.
Architect and build an AI-native finance operations platform from scratch, leading full-stack engineering, cloud infrastructure, and agentic workflows for invoice processing and reconciliation.
Leads embedded systems/firmware development for Google’s server platforms (BIOS, drivers, kernel), collaborating with hardware/software teams to design high-performance solutions for AI, cloud, and hyperscale computing infrastructure.
Designs and optimizes Google’s AI/ML infrastructure stack, focusing on performance tuning, debugging, and tooling for large-scale AI/ML workloads (e.g., LLMs, TPUs) to ensure scalable, high-efficiency systems for global users and Google Cloud customers.
Designs and verifies custom silicon for Google’s TPU accelerators, focusing on microarchitecture and on-chip networks that power AI workloads at hyperscale.
Build and optimize AI agents for Google Cloud’s Applied AI portfolio, focusing on recommendation systems, skill discovery, and performance tools for conversational agents.
Senior ML Engineer designs, builds, and deploys cloud-based AI/ML solutions, leads MLOps practices, and mentors junior team members using Python, FastAPI, and cloud services like AWS/GCP.
Designs and validates custom hardware/software systems for Google Cloud’s infrastructure, focusing on silicon validation, debugging, and bring-up processes for large-scale computing platforms like TPUs and AI models.
Develops production-grade AI/ML agentic systems (e.g., multi-agent workflows, MCP servers) for Google Cloud, bridging AI models with enterprise infrastructure while optimizing performance, safety, and scalability for global customers.
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…
Builds AI-powered supply-chain software on Google Cloud, integrating ML pipelines and full-stack development to optimize customer ordering and enterprise processes.
Lead a team of AI/ML engineers to deploy bespoke GenAI solutions directly in customer environments, balancing technical mentorship with strategic alignment for Google Cloud.
Build and optimize AI agents, LLM pipelines, and RAG systems for an e-commerce customer support platform using Python and modern ML frameworks.
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