GenAI Engineer

AI Engineer | Energy & Commodities Trading

Join a small, experienced AI team at a global energy and commodities trading firm. This is a hands-on build role. You'll work directly with traders, operations, and support teams to design and deploy LLM-based automation that delivers measurable commercial value. Expect real ownership from day one: you'll drive your own deliverables with a high degree of autonomy.

What You'll Do

• Partner with end-users across trading, operations, and support to find automation opportunities and build LLM solutions around their workflows
• Design, prototype, and iterate on agentic AI workflows
• Build production-ready prompts, AI Skills, and MCPs using frontier models
• Translate business problems into technical requirements, designs, and delivery plans
• Gather user feedback, refine solutions, and document your work for the team

What You Bring

• Degree in Computer Science, Engineering, Mathematics, or a related field
• 3 to 5 years of experience in software, data, or AI engineering
• Strong Python skills with clean, modular, well-documented code
• Hands-on experience building with LLMs, including prompting and agentic patterns (tool use, function calling, or MCP)
• Working knowledge of Git, Docker, and modern full-stack practices
• Ability to work with non-technical users and quickly learn new domains
• Interest in commodities markets, energy flows, and trading

Nice to Have

• Experience building MCP servers or clients, RAG pipelines, or multi-agent systems
• LLM evaluation or benchmarking experience
• Cloud experience (AWS, Azure, or GCP)
• Exposure to quantitative finance or derivatives
• Strong Excel skills
• Shipped products or side projects

Why This Role

• Work across oil, gas, metals, and shipping markets at one of the world's largest trading firms
• Shape how AI is used for automation and decision support in a fast-paced trading environment
• Build with current agentic frameworks and frontier model access