> Markdown version of [/jobs/ext/4507571-forward-deployed-engineer](https://www.wearedevelopers.com/jobs/ext/4507571-forward-deployed-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer - **Company:** Vitol Holding Inc - **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, Natural Language Processing, Software Construction, Software Engineering, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Model Validation, Llamaindex, Information Technology, Software Version Control - **Published:** October 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/forward-deployed-engineer-houston-tx--77493527-8164-43a8-9db3-afd17c4a3e8f ## About the Role Energy Management, Oil and Gas, Artificial Intelligence (AI), Problem Solving Skills, Prototyping, Technical/Engineering Design, Technical Delivery, Team Player, MCP - Microsoft Certified Professional, Pricing, * 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