{"id":1119462,"url":"https://alion.io/job/vitol-com-genai-engineer","title":"GenAI Engineer","company":{"id":691744,"name":"Vitol.com","domain":"vitol.com","url":"https://alion.io/company/vitol-2","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"A","score":92,"open_postings":6,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":48,"computed_at":"2026-09-26T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Houston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":123000,"max_usd":239000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":257},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Docker","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Python","optional":false},{"name":"Tool Use","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-09-22T13:28:07Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-09-26T14:34:51Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Vitol is a leader in energy and commodities. Vitol produces, manages and delivers energy and commodities to consumers and industry worldwide. In addition to its primary business of trading, Vitol is invested in infrastructure globally, with $10+billion invested in long-term assets.\nVitol’s customers include national oil companies, multinationals, leading industrial companies and utilities. Founded in Rotterdam in 1966, today Vitol serves its customers from some 40 offices worldwide. Revenues in 2023 were $400bn.\nOur people are our business. Talent is precious to us and we create an environment in which individuals can reach their full potential, unhindered by hierarchy. Our team comprises more than 65+ nationalities and we are committed to developing and sustaining a diverse work force.\nLearn more about us here.\nWe 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.\nYou 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.\nThis 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.\nKey Responsibilities\nCollaborate with end-users across trading, operations, and support functions to identify automation opportunities and develop LLM-based solutions tailored to their workflows\nDesign, prototype, and iterate on agentic AI workflows that solve real business problems\nDevelop production-ready prompts, AI Skills, and MCPs\nEngage regularly with stakeholders to gather feedback and refine solutions\nTranslate business problems into clear technical requirements, solution designs, and delivery plans to build, integrate, and deploy solutions\nContribute to the team's shared knowledge base and document your work clearly\nWhat You'll Gain\nCommodities & finance: Work at the heart of one of the world's largest energy and commodities trading companies, including oil, gas, metals, and shipping markets\nPractical AI in finance: Shape how AI is applied for automation, decision support, and commercial advantage in a fast-paced trading environment\nAgentic systems: Build directly with cutting-edge agentic frameworks and access to frontier model capabilities\nA 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\nFluency in Python: Ability to write clean, modular, well-documented code, with strong understanding of engineering best practices\nFamiliarity 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)\nFamiliarity with Git and version control workflows\nFamiliarity with Docker, containerization concepts\nExposure to modern full-stack development practices\nStrong ability to engage with and understand the needs of non-technical end-users\nClear communicator who asks good questions and quickly picks up new domains\nCuriosity for emerging AI developments, with a proactive commitment to continuously learning, experimenting and expanding your skills\nIntellectual curiosity about commodities markets, global energy flows, and the commercial dynamics of trading; willingness to develop deep domain knowledge as part of the role \nAdditional Information\nIndependent and self-organized, able to manage your own time and priorities with minimal oversight\nPrior experience building products or shipping projects (side projects welcome)\nA builder mindset, you default to making things rather than just discussing them\nProficiency in Excel is a plus\nExperience building MCP servers or clients, RAG pipelines, or multi-agent systems is advantageous\nExperience with prompt engineering and developing reusable AI Skills\nFamiliarity with cloud platforms (e.g. AWS, Azure, or GCP)\nSome knowledge of, experience with, or interest in quantitative finance and derivative markets\nPrior work on LLM evaluations (evals) or model benchmarking is a plus\n Comprehensive benefit coverage includes:\nMedical\nDental\nVision\nPaid Vacation\n401k with company contributions\nLife insurance\nShort-term & Long-term disability\nAll your information will be kept confidential according to EEO guidelines.","description_format":"text","description_chars":4772,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["401k plan","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Fossil Fuels","Oil & Gas"],"lifecycle":[{"event":"open","at":"2026-09-22T18:10:00Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":48,"reasons":["conf:10","velocity","win:early"],"computed_at":"2026-09-26T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/vitol-com-genai-engineer","json_url":"https://alion.io/job/vitol-com-genai-engineer.json","meta":{"generated_at":"2026-09-27T00:38:17Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":552,"day_limit":5000,"remaining_today":4448,"minute_limit":60,"resets_at":"2026-09-28T00:00:00Z"}}}