Forward Deployed Engineer

Vitol

$110K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Degree in computer science, statistics, mathematics, data science, or a related quantitative field
  • Fluency in Python for applied AI and engineering, emphasizing clean code and best practices
  • Minimum 3 years of experience in software engineering, AI engineering, or machine learning
  • Practical understanding of generative AI concepts and proficiency with orchestration frameworks
  • Experience with cloud platforms, preferably AWS
  • Excellent communication skills for engaging with technical and commercial stakeholders
  • Strong curiosity for AI developments and commodities markets

Responsibilities

  • Embed with commercial teams to identify AI solution opportunities
  • Translate business problems into technical requirements and delivery plans
  • Develop and extend capabilities of the internal GenAI platform
  • Apply a variety of AI techniques to industry-specific problems
  • Communicate technical constraints and solutions to engineering teams
  • Present AI capabilities and limitations to management and traders
  • Champion AI best practices and mentor colleagues

Benefits

  • Competitive salary and benefits package
  • Large variety of projects with global real-world impacts
  • Entrepreneurial environment fostering quick idea implementation
  • Close collaboration with trading desks across key global regions
  • Supportive and motivated AI team atmosphere
  • Involvement in the energy transition towards renewable sources
  • Comprehensive benefit coverage including medical, dental, and retirement options
Full Job Description
This Role is located in Houston, TX - In office 5x a week

Job Description

We are looking for a hands-on Forward Deployed AI Engineer to join our global AI team. This is a hybrid role across engineering and commercial teams. You will sit directly with commercial users, build and ship agentic solutions that solve real workflow problems, and communicate technical requirements back to our foundational engineering teams.

You will own technical design and delivery from prototype to production. As Vitol's AI portfolio grows, you will help shape what gets built, in what order, and make sure what the team builds gets used.

The successful candidate will join a growing, collaborative team of experienced practitioners who are solving some of the most challenging and impactful problems the energy industry is facing, as well as pushing the boundaries around the 'art of the possible'.

Key Responsibilities
  • 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


Qualifications
  • 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


This Role is located in Houston, TX - In office 5x a week

Additional Information
  • Competitive salary and benefits package
  • Large diversity of projects with real-world impacts on a truly global scale
  • Entrepreneurial environment within a flat hierarchy, where great ideas come to life quickly
  • Direct, close collaboration with trading desks and other business units across our key regions (e.g. London, Singapore, Houston, Geneva)
  • A highly motivated AI team comprised of experienced individuals with a supportive attitude and great team spirit
  • Being part of the energy transition through increased emphasis on renewable and alternative energy sources at a pivotal moment in the industry

Comprehensive benefit coverage includes:
  • Medical
  • Dental
  • Vision
  • Paid Vacation
  • 401k with company contributions
  • Life insurance
  • Short-term & Long-term disability

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