Contract AI Data Engineer (Trading)
Summary
Design and deploy enterprise-scale GenAI, RAG, and agentic AI solutions for a global energy trading firm, using Azure OpenAI, Databricks, and LangChain to automate workflows and enhance decision-making.
Contract: 6-month initial contract (multi-year programme)
X4 Technology are partnered with a global energy organisation undergoing a major AI and data transformation across its Trading business.
As part of a large-scale programme, they're investing heavily in Generative AI, Agentic AI and modern data engineering capabilities to deliver intelligent solutions that enhance commercial decision-making, automate complex workflows and unlock value across trading operations.
They are looking for an experienced Principal AI Data Engineer to design, build and deploy enterprise-scale GenAI solutions, taking products from rapid prototyping through to production while helping shape the future AI roadmap within a highly collaborative engineering environment.
Responsibilities for the Contract AI Data Engineer (Trading)
- Build and deploy GenAI, RAG and Agentic AI solutions from prototype to production
- Develop AI applications (Azure OpenAI, AI Foundry, Databricks Mosaic AI, MLflow, Genie, AgentBricks)
- Design, evaluate and optimise RAG pipelines (prompt engineering, embeddings, LLM evaluation)
- Build AI agents (LangChain, LangGraph, AutoGen and related frameworks)
- Engineer scalable AI and data solutions (Databricks Delta Lake, DLT and Unity Catalog)
- Collaborate with commercial, product and engineering teams
- Lead experimentation, benchmarking and evaluation of LLMs
- Contribute to architecture, technical direction and backlog planning
Requirements for the Contract AI Data Engineer (Trading)
- Deep experience delivering AI, Data Science or Data Engineering
- Strong commercial experience building GenAI, RAG and Agentic AI applications
- Strong understanding of modern LLMs
- Experience with LangChain, LangGraph, AutoGen or similar AI agent frameworks
- Strong Python, SQL and data engineering skills with Azure cloud experience.
- Experience within Energy Trading, Commodities or Financial Services is highly advantageous.
This is an excellent opportunity to join a high-profile AI transformation programme delivering next-generation GenAI capabilities across a global trading organisation.