22 of 22 Permanent Google Gemini Jobs

applications using frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, n8n, Pydantic AI or custom orchestration layers integrating with LLMs such as GPT, Claude, Gemini as well as self-hosted LLMs along with MCP integrations Implement Retrieval-Augmented Generation (RAG) techniques leveraging vector databases (Pinecone/ChromaDB/Weaviate ...

Build Generative AI Solutions Develop and enhance GenAI applications using frameworks such as LangChain, LangGraph, or LlamaIndex , integrating with LLMs including GPT, Claude, and Gemini . Implement RAG Pipelines Support the design and delivery of Retrieval-Augmented Generation (RAG) solutions using vector databases such as Pinecone or Weaviate . ...

build, and optimise production-grade Generative AI applications using frameworks such as LangChain, LangGraph, and LlamaIndex . Integrate with leading LLMs including GPT, Claude, Gemini , as well as self-hosted and fine-tuned models where required. Define patterns for agent orchestration, memory, evaluation, and observability. Pioneer RAG & Multi-Modal ...

team working. Desirable Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Contributions to open-source ...

integrate AI capabilities across platforms. About the Role Lead the design, implementation, and fine-tuning of LLMs and generative AI solutions (OpenAI, Anthropic Claude, Gemini, open-source models). Build and optimize RAG pipelines , vector databases, and prompt engineering strategies. Develop AI-powered applications integrating LLMs with APIs, agents ...

leadership acumen in a global team environment Excellent debugging skills Proficient written and verbal communication skills in English Demonstrate proficiency in utilizing LLMs (e.g., Google Gemini), as relevant, for tasks such as brainstorming solutions, deep research, summarizing technical documentation, drafting communications, summarizing complex technical information, and enhancing problem ...

FastAPI), Node.js. Datastores: PostgreSQL, MongoDB (as appropriate), Redis (caching/sessions). Vectors/Embeddings: Chroma (or similar). AI Models & APIs: Claude (Anthropic), Gemini (Google); Amazon Nova Canvas (vision), Deepgram (audio). AI Dev Tools: LangChain or CrewAI (orchestration), MCP servers (integration), GitHub Copilot/Claude Code. ...

Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs such as OpenAI , Anthropic , Gemini , and DeepSeek . Hands-on experience with the full RAG pipeline, including vector embeddings , rerankers , and data indexing in databases like MongoDB. Practical knowledge ...

/TypeScript) with 3+ years in a leadership role. Tech Stack: Extensive hands-on Azure experience and deep practical knowledge of LLMs (Claude, OpenAI, Gemini). Innovation: Practical understanding of MCP (Model Context Protocol) and tool-calling for LLMs. Domain: Proven experience with financial data . Familiarity with trading ...

least one modern language (JavaScript/TypeScript, Java, Python) Web & Product Development: Frameworks (React, Node.js, Django/Flask) AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama Agentic AI: Frameworks (langchain, langgraph, Google ADK) AI enabled code tooling: Cursor, Windsurf, GitHub copilot AI powered platform development: Lovable, Replit, Bolt ...

come to rely on our guidance. Here is what you will actually do: Become an expert-level user of generative AI platforms (Claude, ChatGPT, Gemini, Copilot, Perplexity, Grok) Master Model Context Protocol (MCP), API, and build our library of data integrations Test, evaluate, and grade AI tools for finance ...

unblock the deal. Be a "Force Multiplier" with AI: We believe in efficiency. You will use modern tools like Claude and Gemini to write quick scripts, debug data errors, or analyze file structures, allowing you to move faster than a traditional engineer. Build Confidence in the Plan: You will ...

maintained in production Familiarity with the ML lifecycle: feature stores, model deployment platforms, pipeline orchestration Experience working at the forefront of GenAI tools (ChatGPT, Gemini, Perplexity) THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £130,000 On top of the salary there ...

maintained in production Familiarity with the ML lifecycle: feature stores, model deployment platforms, pipeline orchestration Experience working at the forefront of GenAI tools (ChatGPT, Gemini, Perplexity) THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £130,000 On top of the salary there ...

maintained in production Familiarity with the ML lifecycle: feature stores, model deployment platforms, pipeline orchestration Experience working at the forefront of GenAI tools (ChatGPT, Gemini, Perplexity) THE BENEFITS: You will receive a salary, dependent on experience. Salary is up to £130,000 On top of the salary there ...

databases and embeddings Strength in LLM fine-tuning or multimodal reasoning Proven ability to ship full-stack products fast Strong Python skills Experience using Gemini would be preferred The Culture Just a small, ambitious team that debates hard, builds fast, and chases ideas that matter. ...

solving in non-traditional ways, thrive in a friendly and informal culture, and want to work with cutting-edge AI tools (including ChatGPT and Gemini), this is an exceptional opportunity. What You'll Be Doing Leading Web, Data, and Data Science teams across a large engineering organisation Managing multiple ...

with a strong understanding of open[1]source technologies (e.g., Kubernetes/CNCF) and partner technologies. • Collaborate on technical projects with global partners, including Google, Microsoft, AWS, IBM, Red Hat, Intel, Cisco, and Dell/VMware. Service Delivery & Innovation • Develop GenAI solutions from ideation to MVP, ensuring high performance … architecture design, 5+ years in software development. • Technologies: Proficiency in Python, Java (and/or Golang), and Spring; expertise in AWS, Azure, Google Cloud; Kubernetes and containerization. • AI Expertise: Advanced machine learning algorithms, GenAI models (e.g., GPT, BERT, DALL-E, GEMINI), NLP techniques. • Big Data: Experience with Hadoop ...

with content teams to create structured, authoritative content that performs in AI-generated results Building and executing a GEO strategy across platforms like ChatGPT, Gemini, Grok, Perplexity and any others Designing experiments to test AI visibility, citations and answer adoption Developing reporting that makes sense of a rapidly changing ...

concepts, tools, and services. Any experience to build new applications/tools using Generative AI is a big plus. That includes Cursor, Claude Code, Gemini, and OpenAI APIs And finally, a strong interest in how AI supported toolchains can improve application development Position Expectations Contribute to customer application modernization … embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers-including 75% of the Fortune 100 and AI-native startups-relying ...

handle enormous search datasets and sophisticated distributed processing. Play a key role in defining how the industry navigates LLM-driven search across platforms like Google, ChatGPT, Perplexity, Gemini, and others. Advance AI-enhanced development practices within a company already operating at the forefront of GenAI adoption. Partner closely ...

Head of Engineering - Remote - UK - £80,000-£150,000 GenAI, ML, Spark Why Join This Company? This is a leadership role for someone who wants to work in a truly AI-first engineering environment, not ...