Generative & Agentic AI Engineer - Google/GCP focus Location: London (remote-first) Salary: £80,000 – £130,000 (DOE) We’re hiring a highly skilled and innovation-driven Generative & Agentic AI Engineer with a Google/GCP focus to join a forward-thinking AI engineering team pushing the boundaries of what's possible with large language models and autonomous agents. This is a fast-paced, hands-on opportunity for someone excited by cutting-edge AI tools and frameworks, who thrives in an environment of experimentation, iteration, and deep technical problem-solving. Key Responsibilities: Rapidly design and develop LLM and agent-based prototypes across varied use cases. Build agentic workflows and reasoning pipelines using frameworks such as LangChain, LangGraph, CrewAI, Autogen, and LangFlow. Implement retrieval-augmented generation (RAG) pipelines using vector databases like Pinecone, FAISS, Chroma, or PostgreSQL. Fine-tune prompts to optimise performance, reliability, and alignment. Design and implement memory modules for short-term and long-term agent behaviours. Deploy models and orchestrate AI systems on cloud platforms such as AWS Bedrock, Google Vertex AI, and Azure AI Studio. Integrate semantic search strategies and embeddings to improve LLM relevance and contextual understanding. Build demo-ready user interfaces with tools like Streamlit, Gradio, or React. Develop and maintain robust APIs to connect AI agents to internal and third-party services. Leverage SQL to query and integrate structured data into reasoning and knowledge workflows. Ensure responsible AI use through tooling like Guardrails and awareness of ethical practices. About You: Expert Python developer with a background in building intelligent, multi-step systems. Hands-on experience with LLM frameworks such as LangChain, LangGraph, LangFlow, CrewAI, or Autogen. GCP/Google Cloud expertise Personal credibility with Google - experience working collaboratively with their teams, Google Premier Cloud Partner experience etc Proven track record designing and deploying agentic and generative AI prototypes. Deep understanding of semantic search, vector databases, and memory management strategies. Familiarity with cloud AI tools, observability platforms, and performance optimisation. This is an opportunity to work at the forefront of AI innovation, where your work will directly shape how next-generation systems interact, reason, and assist.