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Gcp & ai engineer

London
Anson Mccade
Ai engineer
Posted: 19 July
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Generative & Agentic AI Engineer - Google/GCP focus

Location: London (remote-first)

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:

* 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.


Seniority level

* Seniority level

Mid-Senior level


Employment type

* Employment type

Full-time


Job function

* Job function

Consulting
* Industries

IT Services and IT Consulting

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