AI Engineer

London Source: WhatJobs
£85,000–£110,000

AI Engineer – RAG Experience essential

London – 3 days onsite

Certain Advantage are recruiting on behalf of our globally renowned client for an AI Engineer in London. This is a hands-on engineering role with a strong research and development element and will focus on a small number of high-priority opportunities at any one time. You’ll work closely with business users to understand the problem, test new approaches and build solutions that have a credible path to production. Successful candidates will offer a combination of AI engineering capability with an understanding of how a commodities trading businesses operate across the front, middle and back office.

Key Responsibilities

  • Design and build advanced AI solutions, including agentic AI, RAG, GraphRAG, knowledge graphs and semantic layers.
  • Explore emerging technologies and rapidly test where they could create business value.
  • Build prototypes and experiments with production scalability, maintainability and integration in mind.
  • Work closely with business stakeholders to understand workflows, decisions, data and operational challenges.
  • Develop and integrate AI solutions using APIs, GraphQL, enterprise data platforms and related technologies.
  • Contribute to the technical strategy and architecture for AI-enabled solutions across T&S.
  • Support evaluation, monitoring, guardrails and responsible deployment of AI capabilities.

Skills & Experience

  • Strong hands-on experience in AI engineering and software development.
  • Experience building with LLMs, agents, RAG and modern AI frameworks.
  • Strong understanding of knowledge graphs, large-scale graph technologies, GraphQL and semantic modelling.
  • Experience taking experimental technologies beyond prototypes towards scalable production solutions.
  • Good understanding of APIs, cloud platforms and enterprise integration.
  • Some understanding of data engineering, data pipelines and data architecture.
  • Experience working in Trading, Supply, commodities, energy trading, financial markets, supply chain or a similarly complex commercial environment.
  • Practical understanding of at least one area of a trading organisation, whether front office, middle office or back office, and the processes, data and decisions that support it.
  • Ability to combine technical delivery with strategic thinking and business problem solving.
  • Strong communication skills and confidence working directly with business stakeholders.

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