Senior Product Engineer

Trafigura Group; Greater London; On-site; GBP 100,000 - 125,000; Full time

Job summary

A leading commodities trading firm in London is seeking a Senior Product Engineer to develop and maintain AI-driven applications. In this hands-on role, you will work closely with the AI team to build robust systems that enhance trading operations. The ideal candidate should have extensive experience in backend development and a strong grasp of Python, API, and microservices architecture. Join us to innovate in the commodities trading space and impact over 5,000 employees daily.

Qualifications

• 5-8+ years of experience building production backend systems.
• Expert-level modern Python proficiency with deep knowledge of the ecosystem.
• Strong experience with REST APIs and microservices architecture.

Responsibilities

• Develop and maintain Python-based backend services and APIs.
• Build document processing pipelines using LLMs.
• Debug performance issues and optimize system reliability.

Skills

Python proficiency

API development

React

TypeScript

Cloud engineering (AWS)

Software testing

Microservices architecture

Database design (SQL, NoSQL)

Job description

Senior Product Engineer page is loaded## Senior Product Engineerlocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R-017110**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 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)**Preferred Qualifications*** Prior experience in Commodities, Fixed Income, Equities, Asset Management is a plus**Key Responsibilities*** 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**Attributes for success*** 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**Key Relationships*** 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.**Department Overview**The 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 operations**Reporting Structure**You will report directly to the Document AI Lead.**Equal Opportunity Employer**We 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.***Please make sure that you submit your CV in English.***[](blob:https://trafigura.wd3.myworkdayjobs.com/796861a6-85e4-4994-9a5d-6f1b9d121529)We are accelerating our investments in renewable energy, including hydrogen, ammonia and other low-carbon energy technologies required for the transition to a low carbon future. We are committed to responsible business practices and we work with our stakeholders to improve environmental and social standards, bringing greater trust and transparency to global supply chains.