We are looking for a motivated and technically curious AI Engineer to join our Machine Learning and AI team on a 6-month fixed-term contract. This is a hands-on, build-first role where you will work directly with end-users and internal stakeholders to design and deploy LLM-based automation solutions that create real commercial value.

You will be embedded in a small, high-impact team of experienced practitioners who are pushing the boundaries of AI in the energy and commodities sector. From day one, you will experiment with agentic workflows, develop AI-powered skills using leading frontier models, and engage directly with business users to understand their needs and translate them into working solutions.

Key Responsibilities

Collaborate with end-users across trading, operations, and support functions to identify automation opportunities and craft LLM-based solutions tailored to their workflows
Design, prototype, and iterate on agentic AI workflows that solve real business problems
Develop reusable AI Skills leveraging leading-edge models and APIs
Engage regularly with stakeholders to gather feedback and refine solutions
Contribute to the team's shared knowledge base and document your work clearly

What You Will Learn

Commodities & finance: Gain exposure to the inner workings of one of the world's largest energy and commodities trading companies, including oil, gas, metals, and shipping markets
Practical AI in finance: Understand how AI is applied for automation, decision support, and commercial advantage in a fast-paced trading environment
Agentic systems: Get hands-on experience building with cutting-edge agentic frameworks and access to frontier model capabilities

Qualifications

Final year or fresh graduate with a technical degree (Computer Science, Engineering, Mathematics, or related field)
Python is a must: you should be comfortable reading and writing clean, functional code
Familiarity with AI and LLMs: you understand how language models work and have experimented with them
Familiarity with Git and version control workflows
Basic familiarity with Docker or containerisation concepts
Interest or familiarity with finance, commodities, energy, oil, gas, metals, or shipping
Exposure to modern full-stack development practices
Strong ability to engage with and understand the needs of non-technical end-users
Clear communicator who asks good questions and is eager to learn

Preferred

Independent and self-organised, able to manage your own time and priorities without hand-holding
Prior experience building products or shipping projects (side projects welcome)
A builder mindset, you default to making things rather than just discussing them
Proficiency in Excel is a plus
Experience with prompt engineering, RAG, or agent frameworks is advantageous
Familiarity with cloud platforms (e.g. AWS, Azure, or GCP)
Familiarity with machine learning and conventional data science methods
Some knowledge of, experience with, or interest in quantitative finance and derivative markets

AI Engineer (6-month Contract)

Job Description