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AI Engineer - GenAI team

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Neo4j
Full Time position
Listed on 2026-06-10
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 80000 - 100000 GBP Yearly GBP 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

About the Role

Join our brand new GenAI team at Neo4j, where we're pioneering groundbreaking work in the field of AI and machine learning. As an AI Engineer at Neo4j, you will be at the forefront of integrating AI into a variety of applications and services. Your role will focus on building and maintaining integrations with external libraries and frameworks, designing and implementing AI-driven software systems, and actively contributing to the strategic direction of our GenAI offerings.

You

Will
  • Build and maintain integrations with external libraries and frameworks
  • Analyze, design, and implement software systems that incorporate AI components, shaping the future of AI-driven solutions
  • Stay updated with the latest trends and techniques in AI and machine learning, keeping our team on the cutting edge
  • Influence what integrations, products, and services are being built going forward, making a direct impact on our GenAI direction.
  • Build, operate, and maintain internal GenAI services to back features in our end-user tools
Minimum Requirements
  • 3+ years of relevant technical work experience
  • A deep understanding of the best practices of software design methods and the software development process, including CI/CD
  • Experience with at least one of the mainstream AI developer frameworks (
    Lang Chain, Llama Index, Semantic Kernel
    , etc.)
  • A basic understanding of how Large Language Models work, their strengths, limitations, and potential applications.
  • Experience building full-stack applications and a strong proficiency in Python and Java Script .
  • Proven experience integrating AI features into real-world applications.
  • A Master’s or Ph.D. in a relevant field is preferred (e.g., Computer Science, AI, Data Science).
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