Senior Product Engineer

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 a Senior Product Engineer to work closely with our AI team to build the applications and systems that bring AI capabilities to our trading operations. You will be building robust AI/LLM applications that directly impacts trading operations.

This is a hands-on Individual Contributor role.

Required Qualifications

• 5-8+ years of experience building production backend systems and APIs
• Functional frontend skills - comfortable with React, TypeScript, and building user interfaces when needed
• Expert-level modern Python proficiency with deep knowledge of the ecosystem (Pydantic, FastAPI, asyncio, type hints)
• Strong experience with REST APIs, microservices architecture, and database design (SQL, NoSQL)
• Experience with modern AI frameworks (we currently favour Pydantic AI) and LLM integration
• Production experience with monitoring, observability, and system reliability
• Strong fundamentals in software testing, evaluation frameworks, and quality assurance
• In-depth understanding of modern software design principles (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)

• Prior experience in Commodities, Fixed Income, Equities, Asset Management is a plus

• Develop and maintain Python-based backend services and APIs
• Build document processing pipelines using LLMs and traditional ML techniques
• Build functional frontend interfaces and integrate them with backend systems
• Debug performance issues, handle edge cases, and optimize system reliability
• Write comprehensive tests and implement monitoring for backend systems
• Rapidly prototype new features, evaluate them, and implement to production
• Participate in code reviews, technical design discussions, and architecture decisions
• Communicate effectively with both technical and non-technical stakeholders to understand and translate business requirements into production code
• Example projects you might own in the first 6 months include:
  • Define and build agent-user interactions to integrate AI agents into applications that our 5,000+ employees use every day
  • Extend our in-house intelligent document management system with additional AI-powered features with intuitive human-centred UX
  • Integrate our firmwide AI Assistant with internal data sources using MCP

• Engineering mindset focused on delivering practical solutions that solve real business problems
• Self-directed and comfortable working autonomously with minimal supervision
• Pragmatic approach to technology choices - you pick the right tool for the job rather than chasing trends
• Deep appreciation for SRE principles and mindset for scaling with a small and lean team
• Intellectually curious and desire to work in Applied AI
• Strong desire to help people solve problems

• You 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 primary user segment, providing ad-hoc support and understanding user problems.