GCP Data & AI Engineer

GCP Data & AI Engineer Location: London (remote-first) Salary: £100,000 – £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 whats 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 and certifications • 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.