GenAI Engineer

Vitol; Houston (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Paid Vacation

401k with company contributions

Life insurance

Short-term & Long-term disability

Job summary

Vitol is seeking a motivated and technically curious AI Engineer to join its AI team in Houston. This hands-on role builds LLM-based automation solutions for energy and commodities trading, collaborating with end-users and stakeholders to drive real commercial value.

You will own delivery from day one, designing agentic AI workflows, developing AI Skills and MCPs, and working with frontline users to translate business needs into working solutions in a fast-paced environment.

Qualifications

• Degree in a technical field with 3–5 years of professional experience in software, data, or AI engineering.
• Fluency in Python with clean, modular, well-documented code and engineering best practices.
• Hands-on experience with prompting, agentic patterns (tool use, function calling, MCP), and LLMs.
• Familiarity with Git/version-control workflows and Docker containerization.
• Experience with modern full-stack development practices and understanding end-user needs.

Responsibilities

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

Skills

Python

Prompt engineering

Agentic patterns

End-user engagement

Clear communication

Curiosity/learning

Commodities market knowledge

LLM evaluations

Team collaboration

Education

Bachelor's in Computer Science/Engineering/Mathematics or related

Tools

Git

Docker

Excel

Cloud platforms (AWS/Azure/GCP)

Job description

We are looking for a motivated and technically curious AI Engineer to join our AI team. 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

Requirements

• 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, containerization 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

• Independent and self-organized, 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

Comprehensive benefit coverage includes:

• Medical
• Dental
• Vision
• Paid Vacation
• 401k with company contributions
• Life insurance
• Short-term & Long-term disability

All your information will be kept confidential according to EEO guidelines.