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# hands-on Forward Deployed AI Engineer

- **Company:** VITOLS JANIS A
- **Location:** Houston, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Cloud Computing, Code Review, Data-Flow Analysis, Python (Programming Language), Machine Learning, Software Construction, Software Engineering, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Information Technology, Software Version Control
- **Published:** August 18, 2026
- **Apply:** https://www.dice.com/job-detail/71606c84-dfc4-4438-b8fc-d5c932fffdbc

## About the Role

* Degree in computer science, statistics, mathematics, data science, or a related quantitative field
 * Fluency in Python for both applied AI and engineering purposes: clean, modular, well-documented code, with strong understanding of software engineering best practices including version control, testing, and code review
 * Minimum 3 years of experience in software engineering, AI engineering, machine learning, data science or a related hands-on technical role
 * Practical understanding of generative AI concepts, including prompt engineering, retrieval-augmented generation, tool use, agentic workflows, model evaluation, and responsible AI considerations. Including proficiency with modern GenAI orchestration and tooling frameworks (e.g. LangChain, LlamaIndex, or equivalent)
 * Experience with cloud platforms (AWS preferred)
 * Excellent communication skills, both written and verbal; able to engage effectively with technical teams and commercial stakeholders
 * Self-motivated and comfortable working autonomously in a fast-paced environment, with a collaborative, non-political style and high personal integrity
 * Strong curiosity for emerging AI developments, with a proactive commitment to continuously learning, experimenting and expanding your skills
 * Genuine 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
 * Strong management commitment to putting AI at the heart of the future of Vitol's operations

## Description

* Embed with commercial teams to understand their workflows, constraints, and business objectives; identify high-value opportunities for AI solutions
 * Translate business problems into clear technical requirements, solution designs, and delivery plans to build, integrate, and deploy agentic solutions
 * Development of the firm's internal GenAI platform, extending its capabilities through new integrations, data connectors, MCP servers, tool-calling, and domain-specific skills
 * Apply a broad range of AI and modelling techniques, including LLMs, RAG, NLP, time-series forecasting, and optimization, to commodity pricing, supply/demand signals, trade flow analysis, and operational optimization problems
 * Communicate requirements, technical constraints, and reusable patterns back to the foundational AI and platform engineering teams
 * Present capabilities, assumptions, and limitations clearly to traders and senior management, supporting confident commercial decision-making and building trust in AI outputs among technical and non-technical audiences
 * Champion AI best practice on the desk and across the team: participate in code reviews, experiment and evaluation design, and tooling decisions; mentor colleagues and help raise the overall standard of engineering and applied-AI practice


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