About the job
Join Vitol as a Senior Machine Learning Engineer / Platform Engineer, where you'll be instrumental in designing and developing a cutting-edge production-grade agentic workflow platform. This pivotal role merges LLM systems engineering, distributed platforms, and applied machine learning, with a strong focus on orchestration, reliability, and extensibility. Your expertise will help architect and implement agent-based workflows that seamlessly integrate large language models, retrieval systems, structured knowledge, and external APIs, engineered for robustness, observability, and real-world business applications.
- Design and implement multi-agent and single-agent workflows utilizing orchestration patterns, context engineering, memory management, and guardrail strategies.
- Create RAG pipelines that incorporate vector search, hybrid retrieval, and citation tracking.
- Leverage knowledge graph-backed reasoning, including ontologies, entity resolution, and graph-based context construction.
- Establish evaluation frameworks for assessing agent task completion correctness, quality, cost, and latency.
- Develop and deploy machine learning models with a focus 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) to enable intelligent distribution of insights.
- Implement and manage CI/CD pipelines for the automation of model deployment, testing, and monitoring.
- Architect and deploy systems on AWS, utilizing compute, storage, and security services.
