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AI Engineer (RAG + KnowledgeGraph)

Opus Recruitment Solutions
Barking, UK
5 days ago
Apply on www.careerjet.co.uk
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.careerjet.co.uk

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Graph Database Python (Programming Language) Neo4j Large Language Models Virtual Agents

Job description

I’m looking for an experienced Agentic AI Engineer to join a pioneering team building next-generation AI solutions. You’ll work on cutting-edge projects involving LLMs, Neo4j, Knowledge Graphs, GraphRAG, and AI Agents, helping unlock greater context, reasoning, and automation from their data., * Design and develop Agentic AI applications and workflows

  • Build and optimise Knowledge Graphs using Neo4j
  • Develop GraphRAG and semantic search solutions
  • Integrate LLMs with enterprise data sources
  • Work closely with engineering and data teams to deliver production-ready AI systems

Requirements

  • Strong Python development experience
  • Hands-on experience with Neo4j and Knowledge Graphs
  • Experience with LLMs, RAG, or GraphRAG architectures
  • Understanding of AI agents and autonomous workflows
  • Cloud experience (AWS, Azure, or GCP)

Desirable:

  • LangGraph, LangChain, CrewAI, AutoGen, or similar frameworks
  • Experience deploying GenAI solutions into production environments

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.co.uk
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

4:20 min

Structuring connected data using graph database architectural fundamentals

Martin O'hanlon · LIVE

2:08 min

Essential engineering roles in the generative AI space

Mary Grygleski Mary Grygleski · LIVE

3:21 min

Navigating the ethical integration of virtual colleagues

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

2:24 min

Comparing Neo4j and GraphQL conceptual models

William Lyon · LIVE

2:04 min

Simulating organizational changes via large language models

Dunya Kirkali Dunya Kirkali · Europe 2026 Virtual

1:44 min

Introduction to generative AI and knowledge graphs

Michael Hunger Michael Hunger · World Congress 2024

Videos

See all
Putting the Graph In GraphQL With The Neo4j GraphQL Library thumbnail
47:48
LIVE • almost 5 years ago

Putting the Graph In GraphQL With The Neo4j GraphQL Library

William Lyon

Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j thumbnail
46:51
over 1 year ago

Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j

Guiding Agentic AI with Vue thumbnail
31:18
Europe 2026 Virtual • about 2 months ago

Guiding Agentic AI with Vue

Rijk van Zanten

RAG's Not Dead, You're Just Using It Wrong! - Phil Nash thumbnail
28:20
Coffee With Developers • 2 months ago

RAG's Not Dead, You're Just Using It Wrong! - Phil Nash

Phil Nash

Knowledge graph based chatbot thumbnail
24:44
World Congress 2023 • almost 3 years ago

Knowledge graph based chatbot

Tomaz Bratanic

Give Your LLMs a Left Brain thumbnail
27:35
World Congress 2024 • about 2 years ago

Give Your LLMs a Left Brain

Stephen Chin

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