Senior Staff Software Engineer role focused on designing, developing, and deploying large-scale AI solutions, with a specific emphasis on language models and agentic systems. The role involves technical leadership, ML infrastructure optimization, and applying the latest AI technologies to create impactful products. Requires extensive experience in software development, ML design, and industry ML infrastructure.

Staff Software Engineer role focused on leading the technical strategy, architecture, and delivery of a new agentic video creation application for YouTube Ads. The role involves developing multi-modal agentic systems using Generative AI to produce high-fidelity video creatives at scale, adapting frontier AI capabilities to the Ads domain, and designing scalable APIs and microservices. This position bridges frontier AI with business impact and requires experience in leading applied AI/ML products and shipping AI applications.

Staff Software Engineer at Google DeepMind on the Gemini App Personalization team, focused on building a next-generation AI assistant that deeply personalizes products for users. The role involves designing and building scalable features for capturing, organizing, and surfacing personal context, performing data analysis, developing evaluation techniques for contextual recall, owning model output quality, and contributing to a data flywheel. The position requires significant software development experience, particularly with big data, ML, LLMs, and data analysis, with a focus on creating a seamless cognitive extension for users.

Staff Datacloud Blackbelt Engineer role focused on building and deploying sophisticated Data and AI agents and solutions for enterprise customers, leveraging Google's AI technologies. The role involves architecting, optimizing inference latency, and transforming bespoke solutions into reusable assets, acting as a technical lead and mentor.

Forward Deployed Engineer (FDE) role focused on building and deploying generative AI agentic solutions for Google Cloud customers in the telecommunications sector. This role involves coding, debugging, and integrating AI products into customer environments, managing integration complexities, and providing feedback to product teams. It requires a blend of engineering, customer engagement, and problem-solving skills to deliver bespoke AI applications and reusable assets.

Forward Deployed Engineer IV, Applied AI, Google Cloud. This role focuses on transforming conversational AI prototypes into production-ready solutions for customers, owning the end-to-end engineering lifecycle. Responsibilities include architecting and coding conversational flows, building evaluation pipelines and observability frameworks for agentic workloads, and ensuring best practices for customer projects. Requires experience with AI systems on cloud platforms, deploying conversational agents, and full-stack application development interacting with enterprise IT.

Google is seeking a Forward Deployed Engineer for the DevAI team to accelerate its transformation into an AI-native company. This role involves partnering with Product Areas to build and elevate AI capabilities, focusing on the technical foundation of Google's flagship products. The engineer will lead the design and implementation of autonomous, agentic workflows, deliver production-grade agent components, and re-engineer isolated solutions into scalable capabilities.

Technical Program Manager at Google DeepMind focused on driving the execution of agentic capabilities from research to production, specifically for Gemini and other Google products. This role involves managing the lifecycle of agentic innovations, building pathways between research and product teams, and understanding the AI model development lifecycle.

Staff Software Engineer on the Gemini App Personalization team, building next-generation personal AI assistants using Gemini models. Responsibilities include developing personalization capabilities, model post-training, evaluation, data handling, serving, and production deployment. Also involves creating systems for agent testing, developing test problems, visualizing results, building leaderboards, and testing algorithms on robots.

Software Engineer role at Google DeepMind focused on building and testing AI agents. Responsibilities include developing agent testing systems, creating test problems in simulators, visualizing results, building leaderboards, and testing algorithms on robots. The role involves working on both frontend and backend infrastructure for AI tools, improving LLMs, and integrating AI into Google products. Requires strong software engineering skills and experience with Generative AI Agents.

Forward Deployed Engineer for Generative AI in the Media & Entertainment sector on Google Cloud. This role involves building, debugging, and shipping bespoke agentic solutions directly within customer environments, bridging the gap between frontier AI products and production reality. Responsibilities include developing complex AI applications, architecting integrations, building evaluation pipelines, and providing feedback to product teams. Requires experience in production-grade AI solutions, cloud platforms, data pipelines with vector databases and RAG, and leading technical discovery.

Forward Deployed Engineer for Google Cloud's Generative AI Go-To-Market organization, focusing on building and deploying end-to-end GenAI solutions for customers. This role involves rapid prototyping, integrating AI/ML with the broader cloud stack, and translating customer needs into scalable assets.

Staff Software Engineer role focused on developing and optimizing on-device and hybrid multimodal AI models (LLMs, agents, vision, audio) for XR devices. Responsibilities include leading development, creating evaluation plans, implementing innovations in agent architectures and multimodality, rapid prototyping, and collaborating with research and product teams. Requires strong software development experience with C++, Python, and Generative AI, along with ML/AI experience.

Staff Software Developer on the GAWSS team responsible for building and implementing AI/ML-based safety and security mitigations for Google Workspace products. This includes developing LLM-based auto-raters, classifiers for prompt injection attacks, and live traffic observability solutions. The role involves collaboration with Google DeepMind on research and with various product teams to protect AI features across Workspace applications.

Staff Software Engineer role focused on architecting and implementing Agentic Reinforcement Learning systems. This involves developing novel RL recipes, reward modeling, and synthetic data for reasoning, planning, and tool use in large-scale AI products. The role bridges frontier research with production, focusing on the "GenAI Engineering Gap" to create self-improving agentic systems.

Staff Software Developer role focused on developing and deploying agentic AI solutions for enterprise use cases. The role involves inventing, designing, and deploying systems with a focus on algorithmic innovations for sophisticated agentic AI, including multi-agent systems, reinforcement learning, multimodal reasoning, and enhancing LLM reliability and tool use. The position also involves managing and iterating on new platform capabilities and driving technical strategy for a conversational AI platform.

Forward Deployed Engineer IV, GenAI, Google Cloud. This role involves building and deploying bespoke agentic AI solutions within customer environments, bridging the gap between frontier AI products and production-grade reality. Responsibilities include leading the discovery-to-deployment journey, architecting and coding connective tissue between AI products and customer infrastructure, engineering production excellence with evaluation pipelines and observability, acting as a product catalyst, and driving regional leadership. Requires 8 years of experience shipping production-grade AI-driven solutions, Python, and cloud AI architecture.

Forward Deployed Engineer building and shipping bespoke agentic AI solutions within customer environments, focusing on integration, data readiness, and state management. The role involves coding, debugging, and co-building with customer teams, acting as a feedback loop to product roadmaps.

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.

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.

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.

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.

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 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.

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.

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.

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.

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.

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, 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).

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.

This role is for a Software Engineering Manager in Google's BigQuery Analytics AI organization, focusing on building agentic solutions and developer experiences for the data lifecycle. The manager will lead a team in designing and developing next-generation agentic solutions, including agents, skills, and tools for data ingestion, pipelines, feature extraction, and model training. Key responsibilities include developing the technical roadmap, collaborating cross-functionally, and iterating on agentic frameworks with sophisticated tool-use, memory, context retrieval, multi-step orchestration, and evaluation at scale. The role requires experience in Generative AI, Agentic Technologies, and people management, with a focus on building AI-native data journeys and AI-accelerated developer experiences.

Software Engineer III role at Google Cloud Storage focused on building Agentic AI solutions for autonomous storage management. The role involves designing and building the core architecture of AI products to manage cloud objects, automate tasks, tag data, and improve GenAI accuracy and security.

This role focuses on developing and deploying advanced AI/ML solutions, particularly LLMs and intelligent autonomous agents, to drive customer success in Google Cloud. It involves end-to-end development, implementation of evaluation frameworks, production monitoring, and identifying new AI/ML opportunities by collaborating with stakeholders and researching advancements in the field.