5 of 5 Permanent Google Gemini Jobs in the City of London

/WebSockets). Strong frontend skills (React/Next.js, TypeScript, Tailwind). Comfort with 3D/real-time visualization frameworks (WebGL,Three.js) Familiarity with AI/ML integrations (OpenAI, Gemini, RAG pipelines, MCPs, AI scalability). Experience with cloud/infra (Supabase, AWS, GCP, Vercel, Supabase). Ability to ship fast, learn, and iterate in a scrappy environment. Passion More ❯

in GenAI or LLM-based solution design. Proven experience designing AI solutions for banks, asset managers, insurers, or fintechs. Expertise across a wide spectrum of GenAI technologies (e.g., OpenAI, Google Gemini, Anthropic, Meta Llama, Hugging Face). Familiarity with financial data sources (e.g., market data, transactional data, credit reports) and core systems (e.g., core banking, CRMs, compliance systems More ❯

and efficiency within our global financial services operations. Core Responsibilities Architect Autonomous Agents: Design and implement robust, goal-driven AI agents using leading frameworks like LangChain, LangGraph, and the Google Agent Development Kit (ADK). Develop and Evaluate RAG Pipelines: Engineer and optimize end-to-end Retrieval-Augmented Generation (RAG) systems, including data ingestion, chunking strategies, and implementing rigorous … Parameter-Efficient Fine-Tuning) and QLoRA, to adapt large language models for specialized financial tasks. Deploy Cloud-Native AI Solutions: Build, deploy, and manage scalable AI applications on the Google Cloud Platform (GCP), with a strong focus on Vertex AI services. Build Scalable Backend Services: Develop secure, high-performance APIs and microservices using Python and FastAPI to integrate agentic … systems into the wider enterprise architecture. Technical Skillset Requirements Core AI & Frameworks: Agentic Frameworks: Expert-level knowledge of agentic frameworks such as LangChain, LangGraph, Google Agent Development Kit (ADK) LLM Expertise: Advanced Prompt Engineering and hands-on experience with model fine-tuning techniques including PEFT and QLoRA. Proven experience with models like Gemini, and Llama 3. RAG & Vector More ❯

Responsibilities: Act as the founder’s technical right hand, managing AI tools, projects, and strategic implementation. Lead the integration and application of AI agents and large models (e.g., GPT, Gemini) within the company. Ensure AI has a seat at the table in strategic meetings — not just for automation, but for idea generation and innovation. Systematize knowledge and data flows More ❯

Responsibilities: Act as the founder’s technical right hand, managing AI tools, projects, and strategic implementation. Lead the integration and application of AI agents and large models (e.g., GPT, Gemini) within the company. Ensure AI has a seat at the table in strategic meetings — not just for automation, but for idea generation and innovation. Systematize knowledge and data flows More ❯