26 to 50 of 254 Permanent Google Gemini Jobs

and proactively managing stakeholder relationships to enhance collaboration. Capability Development Helpconfigure, build and integrate Generative AI and Agentic AI solutions using technology like Copilot Studio, Azure AI Foundry or Google Vertex AI Studio to provide reliable solutions to client problems. Identify opportunities to accelerate the Generative AI and Agentic AI solutions and continuously develop expertise through training and certifications. … Stay informed of the competitive technology landscape and explore the feasibility of deploying other Gen AI solutions such as Amazon Q, Google Gemini or Chat GPT Enterprise. Help translate new learnings to expand the Workplace AI offering and help further our differentiation on the market. Operational Excellence Ensure your skills and availability are maintained proactively to respond to More ❯

and proactively managing stakeholder relationships to enhance collaboration. Capability Development Helpconfigure, build and integrate Generative AI and Agentic AI solutions using technology like Copilot Studio, Azure AI Foundry or Google Vertex AI Studio to provide reliable solutions to client problems. Identify opportunities to accelerate the Generative AI and Agentic AI solutions and continuously develop expertise through training and certifications. … Stay informed of the competitive technology landscape and explore the feasibility of deploying other Gen AI solutions such as Amazon Q, Google Gemini or Chat GPT Enterprise. Help translate new learnings to expand the Workplace AI offering and help further our differentiation on the market. Operational Excellence Ensure your skills and availability are maintained proactively to respond to More ❯

and proactively managing stakeholder relationships to enhance collaboration. Capability Development Helpconfigure, build and integrate Generative AI and Agentic AI solutions using technology like Copilot Studio, Azure AI Foundry or Google Vertex AI Studio to provide reliable solutions to client problems. Identify opportunities to accelerate the Generative AI and Agentic AI solutions and continuously develop expertise through training and certifications. … Stay informed of the competitive technology landscape and explore the feasibility of deploying other Gen AI solutions such as Amazon Q, Google Gemini or Chat GPT Enterprise. Help translate new learnings to expand the Workplace AI offering and help further our differentiation on the market. Operational Excellence Ensure your skills and availability are maintained proactively to respond to More ❯

AI Assistant & Tool Innovation: Build AI-powered agents, assistants, and tools to streamline workflows and enhance productivity. AI Engineering: Build, test, and optimize generative AI features using OpenAI, Claude, Gemini, and fine-tuned custom models. Prompt Engineering: Craft, iterate, and test prompt strategies to improve accuracy and responsiveness. Cross-Functional Collaboration: Partner with engineering, product, and QA teams to More ❯

or AI systems. Familiarity with key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using REST APIs, microservices, and Docker More ❯

or AI systems. Familiarity with key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using REST APIs, microservices, and Docker More ❯

or AI systems. Familiarity with key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using REST APIs, microservices, and Docker More ❯

or AI systems. Familiarity with key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using REST APIs, microservices, and Docker More ❯

or AI systems. Familiarity with key libraries and frameworks such as TensorFlow, Scikit-learn, PyTorch, Transformers, LangChain, BeautifulSoup, and OpenCV. Experience with AI APIs and platforms (e.g., OpenAI, Bedrock, Gemini, Anthropic). Knowledge of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using REST APIs, microservices, and Docker More ❯

happen. Hands-On LLM/AI Experience: You have demonstrable experience building and shipping meaningful projects (at work or independently) using modern AI tools and techniques (e.g., OpenAI, Anthropic, Gemini APIs; RAG, agent frameworks, prompt engineering). Showcasing this via a portfolio, open-source contributions (e.g., a GitHub repo), or detailed project walkthroughs is highly encouraged. Tinkerer's Spirit More ❯

optimization techniques. LLM Evaluation: Experience evaluating LLM outputs, including using LLM-as-a-judge methodologies to assess quality and alignment. RAG: Familiarity with vector databases. Cloud: Practical experience with Gemini/OpenAI models and cloud platforms such as AWS, Google Cloud, or Azure. Experience with Docker for containerization is a plus. Data Engineering: Understanding of data extraction, curation More ❯

RAG, vector databases, function calling, chain of prompt reasoning, and other state of the art techniques to improve LLM behavior and performance. Hands-on experience using OpenAI, Azure OpenAI, Google Gemini, Amazon Bedrock and Anthropic. Good working knowledge of these APIs as opposed to just chat based interfaces like Claude and ChatGPT. Hands-on experience with iPaaS technologies More ❯

Twin, with extensive hands-on experience in training and fine-tuning models using frameworks such as PyTorch or TensorFlow Proficiency with Generative AI tools such as GPT, DALL-E, Gemini, and a solid understanding of underlying Machine Learning pipelines Exceptional analytical and problem-solving skills Creative, flexible, and adept at working with new technology Extensive experience in coding (C++ More ❯

architectures, LLMs). Programming experience with Python, PySpark, microservices, and data modeling. Proficient in LLM orchestration on platforms such as OpenAI on Azure, AWS Bedrock, GCP Vertex AI, or Gemini AI. Architecture & Deployment: Designing, deploying, and scaling AI architectures aligned to enterprise standards. Proven experience in MLOps and AI lifecycle management, with scalable deployments across AWS, GCP, and Azure. More ❯

or journals, demonstrating strong communication of complex technical concepts Familiarity with agent-based architectures, tool use, reinforcement learning, and techniques for evaluating and optimizing agent behavior About the Role Google's software engineers develop innovative technologies that impact billions of users worldwide. Our products handle massive information at scale and extend beyond web search. We seek versatile engineers with … work on critical projects with opportunities to switch teams and projects as our business evolves. The Domain Applied ML team within Core ML accelerates ML/AI adoption across Google by developing efficient solutions in areas like parameter tuning, multimodal modeling, media generation, LLMs, and recommender systems. The ML, Systems, & Cloud AI (MSCA) organization manages the hardware, software, ML … and infrastructure for all Google services and Google Cloud, prioritizing security, efficiency, and reliability to shape the future of hyperscale computing, including Google Cloud's Vertex AI and Gemini models. Responsibilities Build and lead a new team of ML engineers and researchers in London Collaborate with Google Research and DeepMind to identify and prioritize emerging More ❯

to frontend development using React . A key aspect of this role is the ability to effectively understand and work WITH AI-powered developer tools (e.g., Cursor, Claude Code, Gemini, GitHub Copilot ) to enhance productivity, code quality, and accelerate development cycles. We are seeking a motivated and growing engineer who thrives in a dynamic, scaling organization and is eager … across the stack. Contribute to the entire software development lifecycle, from an idea to production. Cloud Services & Deployment: Work with and deploy applications to cloud platforms like AWS and Google Cloud Platform (GCP) , contributing to infrastructure reliability and scalability. Gain experience with containerization technologies (e.g., Docker) and contribute to CI/CD pipelines. Database Management: Develop and contribute to … NoSQL database solutions. Ensure data integrity and contribute to performance improvements in database operations. AI Tool Integration & Innovation: Actively utilize and explore AI developer tools (e.g., Cursor, Claude Code, Gemini ) to streamline coding, debugging, and learning processes. Contribute to best practices for leveraging AI tools within the engineering team. Code Quality and Collaboration: Uphold high standards of code quality More ❯

procedures, extraction). Microsoft Azure: Experience with Microsoft Azure and Microsoft Power Platform. AI Tools: Demonstrable ability to create custom GPT's and Chatbots using AI Tools (we use Google Gemini API (and Notebook LM), Anthropics Claude AI, Microsoft CoPilot, and OpenAI's Chat GPT). Demonstrate a keen interest in financial products Ability to manage user expectations More ❯

opportunities for continuous improvement Enhance existing systems and support strategic projects Contribute to a culture of innovation and collaboration KEY SKILLS & EXPERIENCE Experience with AI platforms (e.g. ChatGPT, Claude, Google Gemini, Microsoft CoPilot) Proficient in Python, SQL, and Oracle Database Familiar with Microsoft Azure and Power Platform Strong problem-solving, analytical, and communication skills Experience with Jira/ More ❯

procedures, extraction). Microsoft Azure: Experience with Microsoft Azure and Microsoft Power Platform. AI Tools: Demonstrable ability to create custom GPT's and Chatbots using AI Tools (we use Google Gemini API (and Notebook LM), Anthropics Claude AI, Microsoft CoPilot, and OpenAI's Chat GPT). Demonstrate a keen interest in financial products Ability to manage user expectations More ❯

procedures, extraction). Microsoft Azure: Experience with Microsoft Azure and Microsoft Power Platform. AI Tools: Demonstrable ability to create custom GPT's and Chatbots using AI Tools (we use Google Gemini API (and Notebook LM), Anthropics Claude AI, Microsoft CoPilot, and OpenAI's Chat GPT). Demonstrate a keen interest in financial products Ability to manage user expectations More ❯

the support model. Skill Requirements: Strong skills in Python programming at least 5 years commercial experience Demonstrable ability to create custom GPTs and Chatbots using AI tools such as Google Gemini API (and Notebook LM), Anthropic Claude AI, Microsoft CoPilot, and OpenAI's Chat GPT. Experience with Microsoft Azure and Microsoft Power Platform. Proficiency in Oracle Database (SQL More ❯

the support model. Skill Requirements: Strong skills in Python programming at least 5 years commercial experience Demonstrable ability to create custom GPTs and Chatbots using AI tools such as Google Gemini API (and Notebook LM), Anthropic Claude AI, Microsoft CoPilot, and OpenAI's Chat GPT. Experience with Microsoft Azure and Microsoft Power Platform. Proficiency in Oracle Database (SQL More ❯

Proficiency in SQL, stored procedures, etc. Microsoft Azure: Experience with Microsoft Azure and Microsoft Power Platform. AI Tools: Demonstrable ability to create custom GPTs and Chatbots using AI Tools (Google Gemini API, Anthropics Claude AI, Microsoft CoPilot, and OpenAI's ChatGPT). Demonstrate a keen interest in financial products. Ability to manage user expectations and communicate effectively with More ❯

procedures, extraction). Microsoft Azure: Experience with Microsoft Azure and Microsoft Power Platform. AI Tools: Demonstrable ability to create custom GPT's and Chatbots using AI Tools (we use Google Gemini API (and Notebook LM), Anthropics Claude AI, Microsoft CoPilot, and OpenAI's Chat GPT). Demonstrate a keen interest in financial products Ability to manage user expectations More ❯

AWS (20+ services), Kubernetes (EKS), Docker, Infrastructure as Code (CloudFormation, Terraform), CI/CD (Jenkins, GitHub Actions), Observability (AWS, Grafana), OpenAI in Azure. Development tools: GitHub, Jira, Notion, ChatGPT, Gemini, LangChain, AI-native IDE's (Cursor, JetBrains), LLM-powered internal tools. Test automation: Cypress (E2E), Postman (API), Jest (frontend unit), PHPUnit (backend unit), JUnit (Android), XCTest (iOS). WHAT More ❯