1 to 25 of 56 Google Gemini Jobs

Principal Staff Software Engineer, AI and Data Infrastructure link Copy link corporate_fare Google place London, UK Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain. Apply link Copy link Bachelor's degree or equivalent practical experience. 8 years of experience … to develop a use-case specific definition for the data and pragmatically balance trade offs for research, privacy, and product usage. About the job 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 … and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to More ❯

with an emphasis on scalability, performance, and reliability. AI Engineering: Build, test, and optimize generative AI features using platforms such as OpenAI, Claude, and Gemini, including fine-tuned custom models and evaluation pipelines. Prompt Engineering: Design, iterate, and test prompt strategies to improve model accuracy, robustness, and responsiveness across More ❯

the hood and contribute to their development, scalability, reliability, and continuous improvement. AI Engineering: Build, test, and optimise generative AI features using OpenAI, Claude, Gemini, and fine-tuned custom models. Develop model evaluation pipelines and optimise model behaviour. Prompt Engineering: Craft, iterate, and test prompt strategies and templates to More ❯

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 More ❯

driven use cases that solve real-world business challenges. Your expertise will focus on: Designing and implementing SLM/LLM models (such as GPT, Gemini, or Llama) for various applications, including natural language understanding, text generation, summarization, and more. Building and integrating LLM-based platforms that deliver AI services More ❯

driven use cases that solve real-world business challenges. Your expertise will focus on: Designing and implementing SLM/LLM models (such as GPT, Gemini, or Llama) for various applications, including natural language understanding, text generation, summarization, and more. Building and integrating LLM-based platforms that deliver AI services More ❯

Experienced in Generative AI and natural language processing (NLP) techniques such as large-scale transformer models and generative pre-trained LLMs (GPT-4, Claude, Gemini, and beyond) Knowledgeable of the latest developments in diffusion models and other generative frameworks for both text and image generation Competent in Generative AI More ❯

of vector databases and advanced database management systems Frontend: NextJS, Zustand, Tailwind, Prisma Python, FastAPI, Llama Index Database: PostgreSQL, PGVector LLMs & AI: Azure OpenAI, Google Gemini Flash, Replica DevOps: GitHub Actions, Checkly, Docker Compose, Azure, GCP, AWS Competitive salary: $Fully remote work environment with flexible scheduling Company-provided More ❯

in fast-paced startup environments Tech Stack Frontend: NextJS, Zustand, Tailwind, Prisma Backend: Python, FastAPI, Llama Index Database: PostgreSQL, PGVector LLMs & AI: Azure OpenAI, Google Gemini Flash, Replica DevOps: GitHub Actions, Checkly, Docker Compose, Azure, GCP, AWS Benefits Competitive salary: $80k-$120k based on experience Equity in a More ❯

in fast-paced startup environments Tech Stack Frontend: NextJS, Zustand, Tailwind, Prisma Backend: Python, FastAPI, Llama Index Database: PostgreSQL, PGVector LLMs & AI: Azure OpenAI, Google Gemini Flash, Replica DevOps: GitHub Actions, Checkly, Docker Compose, Azure, GCP, AWS Benefits Competitive salary: $80k-$120k based on experience Equity in a More ❯

in fast-paced startup environments Tech Stack Frontend: NextJS, Zustand, Tailwind, Prisma Backend: Python, FastAPI, Llama Index Database: PostgreSQL, PGVector LLMs & AI: Azure OpenAI, Google Gemini Flash, Replica DevOps: GitHub Actions, Checkly, Docker Compose, Azure, GCP, AWS Benefits Competitive salary: $50k-$80k based on experience Fully remote work More ❯

in fast-paced startup environments Tech Stack Frontend: NextJS, Zustand, Tailwind, Prisma Backend: Python, FastAPI, Llama Index Database: PostgreSQL, PGVector LLMs & AI: Azure OpenAI, Google Gemini Flash, Replica DevOps: GitHub Actions, Checkly, Docker Compose, Azure, GCP, AWS Benefits Competitive salary: $50k-$80k based on experience Fully remote work More ❯

machine learning algorithms. Familiarity with natural language processing (NLP) and/or large language models (LLMs) is a plus. Experience with tools such as Gemini, ChatGPT, TensorFlow, PyTorch, Hugging Face, or similar frameworks. Interest or coursework in sustainability, climate change, ESG, or environmental data Ability to communicate findings clearly More ❯

robust solutions. Key technical skills: Strong knowledge and deep experience of Python programming, libraries and toolchains Familiarity with large language models (LLMs) like GPT, Gemini, and open-source models such as Lama and MRR Solid understanding of RESTful API design and implementation Git-based source control and JIRA Knowledge More ❯

or Master's degree in Computer Science, Artificial Intelligence, or a related field. Proven experience in working with Large Language Models (LLMs) such as Gemini, LaMDA, or similar. Strong understanding of prompt engineering principles and techniques. Excellent analytical and problem-solving skills, with a focus on evaluating LLM outputs. More ❯

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 More ❯

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 More ❯

pilots to demonstrate business value for AI use-cases. Serve as a technical subject matter expert in Python development, leveraging API offerings from OpenAI, Gemini, and Claude LLMs to deliver solutions. Ensure the solutions align with company policies, security requirements, and design & coding guidelines. Stay up to date with More ❯

What you'll need 4+ years of experience developing React and/or React Native applications. 3+ years of TypeScript experience. Experience integrating OpenAI, Google Gemini, or other LLM APIs into web or mobile applications. Hands-on experience with PostgreSQL or other relational databases , including designing and optimising More ❯

e.g., GCP, AWS, Azure) and their data services. Familiarity with big data technologies (e.g., Hadoop, Spark) is a plus. Understanding of AI tools like Gemini and ChatGPT is also a plus. Excellent problem-solving and communication skills. Ability to work independently and collaboratively in a fast-paced environment. More ❯

data points (social, streaming, ticketing) in near-real-time and surface actionable insights for promoters. 15% Integrate AI workflows (LangGraph, OpenAI/Anthropic/Gemini) into planning and marketing modules, including prompt design, evaluation and safety. 10% Drive code quality through PR reviews, automated testing (Vitest/Playwright), and More ❯

data points (social, streaming, ticketing) in near-real-time and surface actionable insights for promoters. 15% Integrate AI workflows (LangGraph, OpenAI/Anthropic/Gemini) into planning and marketing modules, including prompt design, evaluation and safety. 10% Drive code quality through PR reviews, automated testing (Vitest/Playwright), and More ❯

complex technical concepts effectively. Familiarity with agent-based architectures, tool use, reinforcement learning, and techniques for evaluating and optimizing agent behavior. About the Job: 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 … and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to … solutions in critical domains like parameter-efficient tuning, multimodal modeling, media generation, LLMs, and recommender systems. The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. More ❯

training in either Sprinklr, Amazon Connect, Genesys Cloud CX or Microsoft Dynamics 365 Contact Centre. · Proficiency in generative AI tools such as OpenAI GPT, Google Gemini, and Amazon Bedrock. · Strong grasp of customer journey analytics and contact centre optimisation strategies. · Experience integrating CCaaS platforms with enterprise systems like More ❯

will be a key part along every step of that journey. You will also work with Generative AI technologies, such as GPT-4 or Gemini, embedding their capabilities through prompt engineering in our systems. Responsibilities: Design, develop, and test software applications Work closely with other team members to ensure More ❯