Vitol · 1 day ago
Senior Machine Learning Engineer - Agentic Workflow
Houston, TX
Full-time
Onsite
Senior Level
6+ years expVitol is a leader in energy and commodities, dedicated to delivering energy and commodities globally. They are seeking a Senior Machine Learning Engineer to design and build a production-grade agentic workflow platform, focusing on integrating large language models and ensuring system reliability.
MarketingTrading Platform
Responsibilities
Design and implement multi-agent and single-agent workflows using orchestration patterns and tools, context engineering, memory management, and guardrail strategies
Design RAG pipelines incorporating vector search, hybrid retrieval, and citation tracking
Implement knowledge graph–backed reasoning, including ontologies, entity resolution and graph-based context construction
Design evaluation frameworks for agent task completion correctness, quality, cost, and latency
Develop and deploy machine learning models, focusing on production readiness, scalability, and performance
Collaborate with data scientists to transition experimental models into robust, production-grade applications
Integrate with collaboration platforms (e.g., Teams, alerting systems) for intelligent distribution of insights
Implement and manage CI/CD pipelines to automate deployment, testing, and monitoring of models
Architect and deploy systems on AWS, leveraging compute, storage and security services
Qualification
Required
Bachelor's or master's degree in computer science, Engineering, or related field
6+ years of experience in software engineering, ML engineering, or platform engineering
Strong proficiency in writing production-grade Python, and experience with Claude Code or Cursor
Hands-on experience with LLM-based systems, including: LangChain / LangGraph, MCP, Langsmith, Claude or comparable frontier models, AWS AgentCore or comparable agentic frameworks
Solid understanding of RAG architectures, embeddings, and vector search
Experience designing and consuming APIs (REST and/or async/event-driven)
Strong cloud engineering experience on AWS
Knowledge of how to fine-tune frontier models to specific domain knowledge
Experience deploying traditional machine learning models into production environments using MLOps tools and best practices
Knowledge of distributed systems, large-scale model optimization, and API development
Exceptional ability to work on a team – especially a dynamic, innovative 'tiger team' developing early stage PoC systems
Strong understanding of container orchestration and cloud-native application design
Ability to work in dynamic environments, handling rapid experimentation and iterative development
A self-motivated individual who thrives on seeing the results of their work and its impact on the business
Strong communication skills, both verbally and in writing
A keen sense for the art of the possible
Proven ability to be flexible and work hard, both independently and collaboratively
Methodical and organized - in general, in experimental design, and in code!
Attention to detail with strong analytical, mathematical, and problem-solving skills
An interest in learning about the energy commodities space
Resourceful and able to think creatively and adapt in a dynamic and energetic environment
Team player, with an open, non-political style and a high level of personal integrity
Desire to be a thought-partner in a fast-growing team, and make an impact at a business that sits at the heart of the world's energy flows
Preferred
Experience with distillation, quantization and small language models is a plus
Company
Vitol
The Vitol Group is an energy and commodity trading company involved in exploration, production, refining, terminals, trading, marketing.
1001-5000 employees
H1B Sponsorship
Vitol has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (5)
2023 (2)
2022 (3)
2021 (2)
2020 (2)
Funding
Current Stage
Late StageLeadership Team
Max Bulk
COO
Recent News
2025-12-15
2025-12-01
Pakistan Observer
2025-11-20
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