Senior Machine Learning Engineer - Agentic Workflow

Vitol 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.

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