GenAI Engineer: Agentic AI for Trading & Energy

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

Benefits offered by this job

Medical

Vision

Paid Vacation

401k

Life Insurance

Disability

Job summary

Vitol is seeking an AI Engineer in Houston to design and deploy LLM-based automation solutions that deliver real commercial value. You will work with end-users across trading, operations, and support to translate business needs into actionable AI workflows and production-ready components.

You will own the end-to-end delivery, building prompts, MCPs, and AI Skills while collaborating in a high-autonomy environment. A strong foundation in Python, Docker, Git, and cloud platforms is essential.

Qualifications

• Must have a technical degree and 3–5 years in software, data, or AI engineering.
• Strong Python programming skills with clean, well-documented code.
• Hands-on experience with LLMs, prompting, and agentic patterns (tool use, function calling, MCP) and version control.
• Experience with Docker, Git, and cloud platforms; able to work with non-technical end-users.

Responsibilities

• Collaborate with end-users across trading, operations, and support to identify automation opportunities and build LLM-based solutions.
• Design, prototype, and iterate agentic AI workflows to address real business problems.
• Develop production-ready prompts, AI Skills, and MCPs.
• Engage with stakeholders to gather feedback and refine solutions.
• Translate business needs into technical requirements, designs, and delivery plans.
• Document work and contribute to knowledge sharing.

Skills

Python

LLMs

Prompting

Git

Docker

Cloud platforms

Communication with non-technical users

Education

Degree in Computer Science / Engineering / Mathematics

Tools

Docker

Git

Cloud platforms (AWS/Azure/GCP)

Job description

Vitol is seeking an AI Engineer in Houston to design and deploy LLM-based automation solutions that deliver real commercial value. You will work with end-users across trading, operations, and support to translate business needs into actionable AI workflows and production-ready components.

You will own the end-to-end delivery, building prompts, MCPs, and AI Skills while collaborating in a high-autonomy environment. A strong foundation in Python, Docker, Git, and cloud platforms is essential.