GenAI Engineer

Vitol Asia Pte Ltd; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Vitol Asia Pte Ltd is seeking a motivated AI Engineer to join our AI team on a full-time, permanent basis. You will build LLM-based automation solutions, collaborating with end-users and stakeholders to translate needs into working AI workflows.

You will design, prototype, and iterate agentic workflows, develop prompts, AI Skills, and MCPs, and engage with business users to deliver tangible value with high autonomy.

Qualifications

• A degree in a technical field with 3–5 years of professional software/AI engineering experience.
• Fluency in Python with clean, modular, well-documented code and engineering practices.
• Hands-on experience with AI/LLMs, prompting and agentic patterns (tool use, function calling, MCP).
• Familiarity with Git and version control workflows.
• Familiarity with Docker and containerisation concepts.
• Exposure to modern full-stack development practices.
• Strong ability to engage with non-technical end-users and translate needs into requirements.
• Clear communication, curiosity, and willingness to learn and adapt.
• Interest in commodities markets and energy/trading dynamics.

Responsibilities

• Collaborate with end-users across trading, operations, and support to identify automation opportunities.
• Design and prototype agentic AI workflows tailored to business problems.
• Develop production-ready prompts, AI Skills, and MCPs.
• Engage stakeholders to gather feedback and refine solutions.
• Translate business problems into technical designs and delivery plans.
• Document work and contribute to the team's knowledge base.

Skills

Python

AI/LLMs prompting

MCP / agentic patterns

Git

Full-stack development

User communication

Cloud platforms

Curiosity / learning

Education

Bachelor's in CS/Engineering/Math

Tools

Docker

Git

Job description

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.

Job Description

We are looking for a motivated and technically curiousAI 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 3 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

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