GenAI Engineer

We are looking for a motivated and technically curious AI Engineer to join our AI team on a full-time permanent basis. 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 build agentic workflows develop AI Skills and MCPs using leading frontier models and engage directly with business users to understand their needs and translate them into working solutions.

This role expects active ownership from day one: you will be accountable for your deliverables and expected to drive delivery and operate with a high level of autonomy.

Key Responsibilities

Collaborate with end-users across trading operations and support functions to identify automation opportunities and develop LLM-based solutions tailored to their workflows

Design prototype and iterate on agentic AI workflows that solve real business problems

Develop production-ready prompts AI Skills and MCPs

Engage regularly with stakeholders to gather feedback and refine solutions

Translate business problems into clear technical requirements solution designs and delivery plans to build integrate and deploy solutions

Contribute to the teams shared knowledge base and document your work clearly

What Youll Gain

Commodities & finance: Work at the heart of one of the worlds largest energy and commodities trading companies including oil gas metals and shipping markets

Practical AI in finance: Shape how AI is applied for automation decision support and commercial advantage in a fast-paced trading environment

Agentic systems: Build directly with cutting-edge agentic frameworks and access to frontier model capabilities

Qualifications :

A degree in a technical field (Computer Science Engineering Mathematics or related) with 0 to 5 years of professional experience in software data or AI engineering

Fluency in Python: Ability to write clean modular well-documented code with strong understanding of engineering best practices

Familiarity with AI and LLMs: you understand how language models work and have built with them including hands-on experience with prompting and agentic patterns (tool use function calling or MCP)

Familiarity with Git and version control workflows

Familiarity with Docker containerisation concepts

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 quickly picks up new domains

Curiosity for emerging AI developments with a proactive commitment to continuously learning experimenting and expanding your skills

Intellectual curiosity about commodities markets global energy flows and the commercial dynamics of trading; willingness to develop deep domain knowledge as part of the role 

Additional Information :

Preferred

Independent and self-organised able to manage your own time and priorities with minimal oversight

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 building MCP servers or clients RAG pipelines or multi-agent systems is advantageous

Experience with prompt engineering and developing reusable AI Skills

Familiarity with cloud platforms (e.g. AWS Azure or GCP)

Some knowledge of experience with or interest in quantitative finance and derivative markets

Prior work on LLM evaluations (evals) or model benchmarking is a plus

Additional Information

You will work in a flat approachable organisation where your ideas are heard and your contributions matter

Only successful candidates will be contacted

Remote Work :

No

Employment Type :

Full-time