AI Engineer

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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