This role focuses on building platforms for specialized agents that coordinate to manage commerce intents at scale, pushing AI search boundaries for seamless visual and text experiences. It involves pioneering self-optimizing systems and building/deploying recommendation systems models, utilizing ML infrastructure, and addressing AI quality problems with agentic solutions.

Software Engineer III, GenAI, Google Cloud, focusing on integrating Google Search and private data into LLMs for intelligent solutions on Vertex AI. Responsibilities include building grounding systems, improving LLM grounding algorithms, and developing search ranking improvements. Requires experience in GenAI, LLMs, and Agentic AI Systems.

Senior Software Engineer role focused on building the core reasoning engine for a generative AI-powered data analytics platform (BigQuery). The role involves technical strategy, architectural design, cross-functional collaboration with AI/ML teams, and ensuring the performance, reliability, and observability of agent services. It requires experience with ML infrastructure, GenAI techniques, agent development, distributed systems, and data warehousing.

Product Manager for Google Search, focusing on evolving Search into the best information agent by delivering Gen AI responses across core AI surfaces. The role involves defining and driving new productivity cases, ensuring discoverability and accessibility of AI products, and partnering with engineers to translate product bets into tangible deliverables for a Generative AI Search experience.

This role focuses on ensuring the safety and trustworthiness of Google Cloud's AI products. The Senior Engineering Analyst will leverage advanced ML/AI techniques to develop and deploy scalable safety solutions, analyze AI risks (including generative and agentic AI), and respond to security incidents. The role involves identifying and mitigating emerging threats, synthesizing data to uncover abuse patterns, and partnering with engineering and product teams to combat novel AI threats.

Software Engineer role focused on implementing Generative AI solutions within Google's Geo Consumer products. This involves writing code, collaborating on design and reviews, triaging issues, and contributing to GenAI solutions using ML infrastructure. The role requires experience with building and deploying generative model applications, prompt engineering, prompt tuning, and post-training evaluation, as well as familiarity with state-of-the-art GenAI techniques like LLMs and Multi-Modal models.

Manager of a Generative AI Forward Deployed Engineering (FDE) team, leading AI/ML engineers to bridge the gap between AI products and production-grade reality within customers. The team codes, debugs, and jointly deploys bespoke agentic solutions directly within customer environments. Responsibilities include technical mentorship, managing alignment with Product/Engineering/Sales, resolving production-level obstacles (data readiness, integration, state-management), leading technical hiring, identifying skill gaps in emerging tech (MCP, tool-calling, foundation models), and collaborating with product/engineering to translate field insights into roadmaps.

This role is for a Senior Software Engineering Manager to lead a team building a Security Agentic Platform and AI-driven security agents for Google Cloud Security Operations. The focus is on developing and deploying agentic AI for security products, managing technical strategy, and overseeing the end-to-end development lifecycle.

Senior Software ML Engineer focused on Gemini Enterprise, responsible for engineering systems that define intelligence, reliability, and helpfulness. This includes architecting automated evaluation frameworks, designing optimization algorithms, and solving technical issues at the intersection of LLMs and enterprise-grade software. The role involves leading the technical development of agentic features, designing and implementing GenAI solutions, leveraging ML infrastructure, and evaluating tradeoffs between techniques.

Lead Software Engineer focused on infrastructure quality for robotics, including designing and implementing large-scale software and hardware systems, leading agentic AI initiatives, and driving system reliability for fleet management and data systems. The role involves managing releases, defining engineering productivity metrics, and optimizing the Data/ML Flywheel.

Senior Software Engineer to build next-generation modeling and quality infrastructure for queryless ad formats, using LLM-based distillation and differential modeling. Will lead technical roadmaps across retrieval, auction, and measurement, and develop evaluation frameworks where LLMs simulate user personas to predict ad quality. Focus on personalization and implicit user intent in local discovery.

Software Engineer III, AI/ML role focused on designing and iterating on agentic flows for user intent extraction, query generation, content retrieval and synthesis, and multi-modal generation within Google's Discover personalized content recommendation feed. The role involves conducting applied research, building quality intuitions, defining evaluation metrics, integrating new content formats, and implementing ML solutions at production scale.

Product Manager for Agentic Search at Google, focusing on building agentic features to handle complex user journeys and enable users to accomplish tasks seamlessly across sites and services. The role involves defining product strategy, guiding development from conception to launch, and managing cross-functional teams in a rapidly evolving AI landscape.

Staff Applied AI Agent Developer role focused on applying Generative AI (Gemini Enterprise) to solve real-world challenges for strategic customers. Responsibilities include designing, co-developing, debugging, and deploying custom conversational AI agents, writing bespoke code, developing custom tooling, and providing technical guidance to customers. The role also involves creating reusable tools, building documentation, and influencing product strategy based on field insights.

Staff Software Engineer focused on integrating Generative AI into Google Discover's personalization feed. The role involves architecting LLM integration layers, owning prompt engineering, evaluation, observability, and leading model selection/fine-tuning. The goal is to evolve Discover into a conversational and co-creative personal companion, impacting billions of users.

Senior Staff Forward Deployed Developer role focused on applying Google's Generative AI to customer problems, building and deploying AI agents on the Customer Engagement Suite platform. Responsibilities include understanding customer needs, designing and co-developing AI solutions, creating reusable tools, and optimizing ML infrastructure.

Research Data Scientist role focused on applying ML, statistics, and Generative AI to cybersecurity problems within Google Cloud. The role involves developing and deploying innovative data-driven solutions, including agentic security operations and LLM tuning, with an emphasis on research and publication.

Senior engineer to architect and build Generative AI solutions for enterprise customers using Gemini and Vertex AI, focusing on agentic workflows and semantic data layers. The role involves resolving technical hurdles, optimizing latency, bridging systems, and transforming bespoke solutions into reusable assets and reference architectures. This includes mentoring engineers and advising customer CTOs, with a strong emphasis on customer engagement and product incubation.

Staff Software Engineer, Machine Learning, Discover Ads Retrieval. This role focuses on innovating and defining the retrieval strategy for Google's Discover Ads, connecting users with relevant ads in their feed. The engineer will lead ML engineers to explore frontiers in embedding-based retrieval, deep learning architectures, and multi-objective optimization, impacting billions of users globally. The work involves moving beyond legacy retrieval methods to design next-generation applicant generation strategies and integrate fresh signals into retrieval models.

Google is seeking a Group Product Manager for their AI and Infrastructure team. This role involves guiding AI/ML products from conception to launch, defining product roadmaps, and developing strategic goals for agentic applications. The position requires extensive experience in product management within the AI/ML domain, with a focus on cross-functional collaboration and delivering AI/ML products at scale.

This role focuses on building and evaluating AI agents to classify web pages and reduce operational costs for Google's Safe Browsing system. It involves data analysis to identify harmful entities, understanding malicious website behavior using LLMs, and collaborating with anti-abuse teams to fight phishing and malware at scale. The role requires experience with AI agentic workflows and a strong background in data analysis and programming.

Product Manager role focused on developing and shipping AI systems, specifically science agents, that accelerate scientific discovery. The role involves bridging frontier research with product development, identifying impactful applications, and incubating new agentic capabilities. It requires technical depth, experience with LLMs, and familiarity with agent evaluation frameworks.

Google is seeking an Engineering Manager for their Agentic Planning and Memory team, focused on transforming Google Workspace into a proactive digital partner. The role involves leading teams to develop advanced function-calling capabilities for autonomous workflow execution and building an agentic memory layer for improved context retention and utilization. This position requires strong technical leadership, experience in ML infrastructure, and expertise in GenAI techniques to impact billions of users.

Staff Software Engineer for Gemini Live, a multi-modal AI assistant aiming to be a daily habit for users seeking advice, information, and learning experiences. The role focuses on defining and driving the front-end architecture, engineering an intuitive multi-modal experience, and ensuring low-latency performance for a responsive and natural AI interaction. This involves partnering with GenAI and Model teams to integrate advanced capabilities and establish quality metrics.

Tech Lead for YouTube Shorts Discovery, focusing on ML Recommendations. This role involves designing, developing, and deploying large-scale software solutions and ML infrastructure to drive the success of YouTube Shorts. The primary focus is on building audience identification systems within the recommendation stack, leveraging advanced modeling techniques. The role requires technical leadership, managing project priorities, and guiding the development of ML models and data processing strategies.

Distinguished Engineer and Uber Tech Lead for Google Cloud Security's Unified and Security Operations organization (GUSTO). Responsible for defining and driving the long-term vision at the intersection of AI and cybersecurity, addressing complex security threats with AI, and conducting groundbreaking research. This role involves technical leadership, mentorship, and collaboration to shape Google Cloud security products.

Lead an engineering team building an agent platform for an AI-first organization, focusing on orchestration, tool use, and sandboxing. This role involves significant technical contribution (30-50% coding) and team leadership, aiming to scale intelligent workflows.

Manager of a Generative AI Forward Deployed Engineering team responsible for leading AI/ML engineers to deploy bespoke agentic solutions within customer environments, providing technical mentorship, and managing hiring. The role involves resolving production-level obstacles and collaborating with sales, product, and engineering leadership.

Technical Program Manager for Google's Gemini for Home initiative, focusing on orchestrating roadmaps and technical execution for agentic workflows that transform the home ecosystem into a proactive partner. The role involves managing complex AI launches, connecting engineering teams with AI research breakthroughs, and leading a team of TPgMs in navigating generative AI development.

Manager for a Forward Deployed Engineering team focused on Generative AI within Google Cloud. The role involves leading AI/ML engineers to integrate AI products into customer production environments, providing technical mentorship, managing strategic alignment, and resolving production obstacles related to data, integration, and state management. Responsibilities include establishing engineering standards, partnering with sales, leading technical hiring, identifying skill gaps in emerging AI tech, and translating field insights into product roadmaps. The team deploys experts to key accounts and builds internal tools for efficiency. The role requires experience in developing AI/GenAI solutions, designing multi-agent workflows and RAG systems, and architecting AI solutions with a focus on data sovereignty, governance, and user trust through transparent and explainable interfaces. Experience in designing secure, observable multi-agent systems with state management and tool-calling protocols is also key.

Staff Software Engineer at Google focused on Content Safety, Productionization. This role involves safeguarding business-critical products, including GenAI experiences, by designing, building, and scaling content safety solutions like classifiers and multimodal understanding. Key responsibilities include working on agentic workflows for threat understanding and content moderation, leading ML solution design, optimizing ML infrastructure, and guiding model optimization and data processing strategies. The role requires significant experience in software development, ML infrastructure, and ML design, with a focus on productionizing AI for safety.

Senior Staff Software Engineer focused on AI/ML Security for Google Cloud, specifically on securing LLMs against threats like prompt injection and data exfiltration. The role involves defining technical strategy, designing and implementing scalable systems, influencing security roadmaps across Google, and resolving technical disagreements. It requires experience in ML infrastructure, AI model security, and delivering enterprise-grade security products.

Staff Software Engineer focused on building and scaling content safety solutions, including agentic workflows and multimodal understanding, for Google's products, with a strong emphasis on ML infrastructure and model optimization.

Senior Staff Software Engineer focused on building and scaling infrastructure for Generative AI agents, including LLMs and Multi-Modal models. The role involves leading technical strategy, designing and implementing large-scale ML infrastructure, and overseeing the deployment and maintenance of these solutions.

Software Engineer III, Machine Learning, Research and Products at Google Cloud, focusing on developing and scaling LLM & RAG agents. This role involves writing product/system code, implementing ML solutions, optimizing models, and contributing to data processing, with a minimum of 1 year of experience in Generative AI, Agents, or LLMs.

Forward Deployed Engineer II, Generative AI, Google Cloud. This role involves building and shipping production-grade agentic AI solutions within customer environments, managing integration complexities, data readiness, and state management. The engineer will also build evaluation pipelines and observability frameworks, and provide feedback to product roadmaps. Requires experience with Python/Typescript, building AI solutions, data pipelines with vector databases/RAG, and cloud platforms. Preferred experience with multi-agent frameworks and LLM optimization techniques.

This role involves building and deploying production-grade generative AI agentic solutions for enterprise customers on Google Cloud. The engineer will manage integration complexities, data readiness, and state management, acting as a bridge between frontier AI products and customer environments. Responsibilities include developing agentic workflows, architecting connective tissue, building evaluation pipelines, and identifying reusable patterns. The role requires experience in shipping AI-driven solutions, architecting scalable AI systems, and incorporating RAG/vector databases.

Senior Software Engineer to lead the design and development of end-to-end testing solutions using AI-powered humanoid robots. The role involves creating agents that physically interact with devices to validate user experiences and run exploratory tests, integrating hardware, embedded software, and AI models, and collaborating with AI and robotics teams.

Software Engineer, Applied AI at Google, focusing on developing and deploying production-grade AI agents for business growth. The role involves executing experiments, managing the full lifecycle of AI agent code (prompt engineering, fine-tuning, CI/CD, monitoring), and working with cross-functional teams. Experience with speech/audio, reinforcement learning, or ML infrastructure is required, with preferred experience in LLM orchestration, RAG, and model evaluation.

Senior Software Engineer role focused on implementing Generative AI, LLMs, and Agent-based systems for enterprise applications on Google Cloud Platform, leveraging MLOps practices. Requires experience with GenAI techniques, LLMs, Multi-Modal, Large Vision Models, and Agent Development Kit (ADK).

Technical Program Manager to drive strategy and execution for AI agent initiatives transforming the software development lifecycle. This role involves leading complex, cross-functional programs at the intersection of AI and product, focusing on democratizing app creation and building a virtual software engineering workforce. Requires navigating ambiguity from 0-to-1 product phases and partnering with various Google teams to bring self-sustaining agents to life.

Role focuses on taking conversational AI prototypes and transforming them into production-ready agentic workflows for enterprise customers. Responsibilities include architecting conversational flows, building evaluation pipelines and observability frameworks for agents, and collaborating with customer engineering teams. Requires experience in Python, AI systems on cloud platforms, full-stack development, and conversational agent frameworks.

Staff Software Engineer at Google working on Agent Assist, a Generative AI product for customer experience. The role involves building foundational infrastructure and capabilities for companion AI agents that can reason, use tools, and automate complex tasks at scale, leveraging the latest Agentic AI technologies. The position is focused on developing scalable infrastructure and advanced GenAI features for a core pillar of Gemini Enterprise.

The Forward Deployed Full Stack Group Product Manager will embed with strategic partner teams to co-build production-ready AI agents and ML efficiency solutions. This hybrid role combines product engineering and orchestration, using AI-native tools and agentic engineering to rapidly prototype and deliver bespoke, high-impact solutions in high-velocity environments.

Google Cloud is seeking a Generative AI Forward Deployed Engineer to build and deploy agentic AI solutions within customer environments. This role involves coding, debugging, and integrating Google's AI products with customer infrastructure, addressing challenges in integration, data readiness, and state management. The engineer will also build evaluation pipelines and observability frameworks, and provide feedback to the product roadmap.

Google is seeking a Software Engineering Manager for their Automotive AI Agent team in Zurich, Switzerland. This role involves leading a team to architect and deploy a Gemini-native platform for AI-defined vehicles, focusing on LLM-native orchestration, bidirectional streaming, and omnichannel SDKs. The manager will drive production reliability, partner with OEMs to translate requirements like multi-agent orchestration, and use a data-driven approach to improve driver experience. The role requires strong experience in managing software engineering teams, distributed systems, cloud APIs, and AI/ML technologies, particularly LLMs.

The Generative AI Forward Deployed Architect will build and deploy reference agentic solutions for enterprise customers on Google Cloud. This role involves integrating AI models with existing infrastructure, addressing data readiness and state management issues, and building evaluation pipelines for accuracy, safety, and latency. The architect will also act as a feedback loop to inform Google Cloud's product roadmap.

Staff Software Engineer at Google DeepMind's Inception group, focused on building AI-powered interactive experiences for games. The role involves designing and implementing generative models and agentic workflows into game mechanics, leading integration of streaming models into game engines, and architecting 0-to-1 systems. Requires strong technical leadership, game tech R&D experience, and experience with AI/ML integration.