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 team's shared knowledge base and document your work clearly

What You'll Gain

Commodities & finance: Work at the heart of one of the world's 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

Company Description

Vitol is a leader in the energy sector with a presence across the spectrum: from oil through to power, renewables and carbon.  From 40 offices worldwide, we seek to add value across the energy supply chain, including deploying our scale and market understanding to help facilitate the energy transition. To date, we have committed over $2 billion of capital to renewable projects, and are identifying and developing low-carbon opportunities around the world.

Our people are our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unhindered by hierarchy. Our team comprises more than 65 nationalities and we are committed to developing and sustaining a diverse work force. Learn more about us here.

Location: Singapore, SG

Department: Data Science