Main Purpose Trafigura is undergoing an exciting Digital Transformation, developing innovative AI technologies to change the way we work in Commodities Trading. The Document AI team is a key pillar of this initiative, unlocking data-rich proprietary documents to enable high-value process optimisation and data science use cases.We are seeking an Applied AI Engineer to grow our Document AI platform, developing robust and scalable AI solutions that solve real business problems. As a document intensive industry, you will be building production-ready Agentic AI/LLM systems that radically transforms Commodities Trading.This is a hands-on Individual Contributor role.Required Qualifications5-8+ years of experience building production AI/ML systemsModern Python proficiency with deep knowledge of the ecosystem (Pydantic, FastAPI, asyncio, type safety)Experience with modern AI frameworks (we currently favour Pydantic AI)Production experience maintaining human-in-the-loop systems and AI monitoring/observabilityStrong fundamentals in AI/ML evaluation frameworksExperience building agentic systems including MCP, tool calling, memory systems, vector-based knowledge stores, guardrailsIn depth understanding of modern software design principles (e,g. microservices, event-driven architectures, domain driven design, object oriented programming, test driven development)In depth understanding of modern software development lifecycle (CI/CD, IaC, Containerisation)Practical experience with cloud engineering (preference for AWS)Preferred QualificationsPrior experience in Commodities, Fixed Income, Equities, Asset Management is a plusKey ResponsibilitiesDevelop and maintain Python-based AI applicationsBuild and maintain document workflows using LLMs and classical NLPDebug model performance issues, handle edge cases, and optimize system reliabilityWrite comprehensive tests and implement monitoring for AI/ML systemsRapidly prototype new features, evaluate them, and implement to productionParticipate in code reviews, technical design discussions, and architecture decisionsCommunicate effectively with both technical and non-technical stakeholders to understand and translate business requirements into production codeExample projects you might own in the first 6 months include:Develop a specialised agent to automate highly complex commodity trading workflowDevelop an agent to operate within human workflows, including seamless UI integrations and long running durable executionsDevelop a new AI product to extract key insights from firmwide market intelligence emails for front and middle officeAttributes for successEngineering mindset focused on delivering practical solutions that solve real business problemsSelf-directed and comfortable working autonomously with minimal supervisionPragmatic approach to technology choices - you pick the right tool for the job rather than chasing trendsDeep appreciation for AI system reliability - you understand that making AI systems work consistently is the hardest part of the jobIntellectually curious and adaptable to rapidly evolving AI/ML landscapeStrong desire to help people solve problemsKey RelationshipsYou will work closely with the Digital Transformation Team to understand business requirements and rollout production-grade applications to solve them.You will support the Data Science & Engineering teams as a Centre of Excellence for Agentic AI and related tech, providing support in the form of knowledge sharing and tool adoption.Department OverviewThe Digital Transformation Team is a joint venture between Trading Technology and the Data Science and Engineering Team, driving Trafigura's AI-powered evolution in commodities trading. As a Centre of Excellence for Agentic AI, we develop scalable applications that impact over 5,000 employees daily, supporting both immediate business needs and broader data science initiatives across Trafigura's global operationsReporting StructureYou will report directly to the Document AI Lead.Equal Opportunity EmployerWe are an Equal Opportunity Employer and take pride in a diverse workforce. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, colour, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or handicap, disability, or any other legally protected status.