Senior Forward Deployed Engineer for Google Cloud's Applied AI organization, focusing on designing, developing, and deploying AI agents and solutions for enterprise customers. The role involves close customer partnership, coding, custom tooling development, and providing feedback to core product teams. It requires experience with Generative AI concepts and ML infrastructure, aiming to scale AI adoption within the Google Cloud ecosystem.

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 designing and implementing GenAI solutions within Google Ads, leveraging ML infrastructure and state-of-the-art GenAI techniques like LLMs and Multi-Modal models. Requires strong programming skills, experience with ML infrastructure, and a solid understanding of GenAI concepts.

Senior Software Engineer on the Server AI Foundations team, focusing on building AI-powered tools for Google developers to enhance productivity and integrate AI into workflows. The role involves technical leadership in design, architecture, and implementation of AI-integrated solutions within Google's production platform infrastructure.

This role focuses on building Agentic User Interface (UI) flows for Large Language Model (LLM) journeys, collaborating with UX and researchers to democratize AI techniques and improve end-to-end user experiences for Google Cloud's Generative AI features.

Application Engineer role focused on building Generative AI and LLM-based applications and agents, integrating them into web applications, and supporting sales and supply chain processes within the Google Devices & Services team. Requires strong software development skills and experience with AI/ML technologies.

This role focuses on designing and developing AI-powered solutions and prototypes for enterprise customers on Google Cloud Platform. The Solutions Acceleration Architect will lead technical relationships with partners, build trusted advisory relationships, and define technical architectures for AI initiatives including fine-tuning and RAG. The role involves showcasing the potential of data and AI to solve business challenges and contributing to industry thought leadership.

Engineering Director to lead the technical and architectural reinvention of the Knowledge Catalog platform, integrating Generative AI as a core competency for autonomous data management and governance. Focus on defining AI-first roadmaps, managing LLM integration, and ensuring high-quality data for AI/ML models.

Staff Software Engineer for Google Cloud Networking Security team in Bangalore, focusing on building and operating large-scale network security services. The role involves defining technical strategy, leading the implementation of AI/ML features for threat detection and automated responses, and providing technical guidance and mentorship. Requires experience in software development, network security, distributed systems, cloud, and AI/ML.

This role is for a Technical Program Manager focused on building high-impact AI agents for enterprise clients within Google Cloud. The TPM will elicit business requirements, conduct A/B testing and PoCs, collaborate with Data Science and Engineering on data pipelines for ML models, and ensure solutions address supply chain bottlenecks. They will also manage a team of TPMs, including resource allocation and hiring. The role involves integrating generative AI solutions into business processes and agent-based modeling.

Software Engineering Manager for Google Cloud's Database Intelligence Platform team, focusing on delivering AI-powered database management, AI-assisted journeys, and intelligent agents for monitoring and troubleshooting. The role involves technical leadership, team management, and collaboration across multiple database teams within GCP.

Staff Software Engineer role focused on defining strategy and developing solutions for agentic cloud use cases within Google Cloud. Requires strong software development, design, and architecture experience, with a preference for experience in building agentic systems.

Staff Software Engineer role at Google Cloud focusing on AI and ML, specifically in building AI Agents, Agentic AI, and ML models with NLP capabilities for security products. The role involves leading a full-stack team, designing, developing, testing, and deploying platforms, and collaborating with various stakeholders.

Staff Software Engineer role focused on building applied AI products and developer infrastructure for YouTube, with an emphasis on Generative AI tools and multi-modal agents to improve the development process.

Staff Software Engineer role focused on building AI for developers within Google Search, leveraging agentic frameworks and LLM-powered automation to enhance developer experience and build scalable platform systems.

Software Engineer role focused on building AI-based agents and a full-stack application for workflow automation within the AI and Infrastructure organization at Google Cloud. The role involves defining requirements, leading development, and implementing features to automate core tasks and improve program delivery.

Technical Program Manager to prototype AI agents for supply chain optimization within Google Cloud. The role involves analyzing business requirements, designing and building AI agents, collaborating with data science and engineering teams, and leading a technical program management team. Requires experience in supply chain operations, leadership, prompt engineering, classical ML, and generative AI.

Staff Software Engineer role focused on building Search for Commerce, including traditional search and agentic AI discovery experiences. The role involves developing scalable product search solutions and conversational agents for enterprises, leveraging ML infrastructure and collaborating with model builders.

This role focuses on using and improving Large Language Models (LLMs) for content moderation and anti-abuse efforts on YouTube. Responsibilities include designing and refining prompts for LLMs, analyzing data to understand abuse impact, and driving experiments to prevent abuse. The role involves working with data, identifying product vulnerabilities, and collaborating with engineers and stakeholders.

Staff Software Engineer for Google Distributed Cloud Hosted (GDCag), focusing on building a scalable platform for air-gapped environments. The role involves defining and implementing Agentic AI opportunities for fault remediation, influencing security architecture, and collaborating with various teams to deliver the GDCag software stack. Requires extensive experience in software development, large-scale infrastructure, distributed systems, and cloud environments, with a focus on security and operational efficiency.