GenAI Engineer

About Vitol

Vitol stands as a leading entity within the energy sector, spanning diverse areas from oil to power, renewables, and carbon management. Operating from 40 offices globally, the company leverages its broad expertise and scale to add value along the energy supply chain and actively supports the energy transition by committing significant investments to renewable and low-carbon projects worldwide.

Emphasizing diversity and talent development, Vitol cultivates a dynamic workplace where employees from over 65 nationalities can achieve their full potential in a flat organisational structure.

Role Overview

We are seeking a driven and technically inquisitive AI Engineer to join our AI team on a permanent full-time basis. In this key hands-on role, you will collaborate closely with end-users and internal teams to create and implement LLM-driven automation solutions that deliver practical commercial benefits.

Integrated into a focused, impactful team of experts pioneering AI applications in energy and commodities trading, you'll develop agentic workflows, build AI Skills and Multi-Channel Processing systems using state-of-the-art models, and directly address business challenges with innovative AI technology.

Key Responsibilities

• Partner with users across trading, operations, and support units to identify automation potentials and craft customized LLM-based workflow solutions.
• Design, prototype, and refine agent-oriented AI workflows targeting real business use cases.
• Create production-quality prompts, AI Skills, and multi-channel processing components.
• Maintain ongoing engagement with stakeholders to collect input and continually improve solutions.
• Translate business requirements into precise technical specifications, detailed designs, and actionable delivery plans for solution development, integration, and deployment.
• Contribute to team knowledge sharing with clear, thorough documentation of your work.

Qualifications and Experience

• Degree in a technical discipline such as Computer Science, Engineering, or Mathematics, combined with 3 to 5 years of experience in software, data, or AI engineering roles.
• Proficient in Python, with strong skills writing clean, modular, and well-documented code aligned with engineering best practices.
• Deep understanding of AI and large language models (LLMs), including practical experience with prompting techniques and agentic patterns like tool utilization, function calling, or multi-channel processing.
• Experience with Git version control and containerisation concepts including Docker.
• Exposure to modern full-stack development methodologies.
• Ability to communicate effectively and engage with non-technical stakeholders to accurately gather requirements.
• A strong propensity for quickly learning new subject areas and asking insightful questions.
• An active curiosity about AI advancements and a commitment to continual experimentation and skill growth.
• Interest in commodities markets, global energy flows, and trading commercial dynamics, with a willingness to develop domain expertise.

Desirable Skills and Attributes

• Self-motivated and organised, managing priorities independently with minimal supervision.
• Experience delivering products or managing projects, including side projects.
• Builder mindset favoring practical implementation over discussion.
• Proficiency in Microsoft Excel.
• Experience in building MCP servers/clients, retrieval-augmented generation pipelines, or multi-agent AI systems.
• Expertise in prompt engineering and reusing AI Skills.
• Familiarity with cloud service providers such as AWS, Azure, or Google Cloud Platform.
• Knowledge or interest in quantitative finance and derivatives markets.
• Background in LLM benchmarking or evaluation projects.

Additional Information

• Work within an approachable, flat organisation where contributions and ideas are valued.
• Only applicants selected for further consideration will be contacted.