Generative & Agentic AI Engineer - Google/GCP focus

Location: London (remote-first)

Salary: £80,000 – £130,000 (DOE) + 10% bonus

We’re hiring a highly skilled and innovation-driven Generative & Agentic AI Engineer with a Google/GCP focus and who has personal, tangible credibility working with Google, 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:

• GCP/Google Cloud expertise
• Personal credibility with Google - experience working collaboratively with their teams, Google Premier Cloud Partner experience etc
• 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.
• 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.