AI Engineer

Advantage Resourcing UK Ltd; City Of London; On-site; GBP 85,000 - 110,000; Full time

Job summary

Advantage Resourcing UK Ltd, on behalf of a globally renowned client, seeks an AI Engineer with RAG experience in London. This hands-on role blends AI engineering with strong R&D, focusing on high-priority opportunities and rapid progression to production.

You will work with business stakeholders to translate problems into scalable AI solutions, build prototypes, and ensure production readiness across front/middle/back office contexts in trading and energy markets.

Qualifications

• Hands-on AI engineering with production focus.
• Experience with LLMs, agents and RAG frameworks.
• Knowledge graphs and semantic modelling understanding.
• Experience moving prototypes to scalable production.
• Strong API, cloud, and enterprise integration knowledge.

Responsibilities

• Design and build advanced AI solutions including agentic AI, RAG, GraphRAG, and knowledge graphs.
• Explore new technologies and rapidly test potential business value.
• Build prototypes with production scalability, maintainability and integration in mind.
• Collaborate with business stakeholders to understand workflows, data and decisions.
• Develop and integrate AI solutions using APIs, GraphQL and enterprise data platforms.
• Contribute to AI strategy and architecture for AI-enabled solutions.
• Support evaluation, monitoring, guardrails and responsible deployment of AI capabilities.

Skills

AI engineering

LLMs

RAG

Graph knowledge

GraphQL

APIs

Cloud platforms

Data pipelines

Trading domain

Stakeholder collaboration

Job description

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.