Applied AI Engineer

Trafigura Group; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Trafigura Group is seeking an Applied AI Engineer to grow our Document AI platform, delivering robust Python-based AI solutions for production in commodities trading. You will build agentic AI/LLM workflows and integrate with human processes to ensure reliable, scalable operations.

This hands-on IC role reports to the Document AI Lead within the Digital Transformation Team, a joint venture driving Trafigura's AI-powered evolution.

Qualifications

• 5-8+ years of experience building production AI/ML systems.
• Modern 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/observability
• Strong fundamentals in AI/ML evaluation frameworks.
• Experience building agentic systems including MCP, tool calling, memory systems, vector-based knowledge stores, guardrails
• In 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)

Responsibilities

• Develop and maintain Python-based AI applications
• Build and maintain document workflows using LLMs and classical NLP
• Debug model performance issues, handle edge cases, and optimize system reliability
• Write comprehensive tests and implement monitoring for AI/ML systems

Skills

Production AI/ML systems

Python proficiency

AI frameworks

AI monitoring

Evaluation frameworks

Agentic systems

Software design principles

CI/CD

Cloud AWS

Tools

Pydantic

FastAPI

AWS

Containerisation

CI/CD tooling

Job description

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 Qualifications

• 5-8+ years of experience building production AI/ML systems
• Modern 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/observability
• Strong fundamentals in AI/ML evaluation frameworks
• Experience building agentic systems including MCP, tool calling, memory systems, vector-based knowledge stores, guardrails
• In 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 Qualifications

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

Key Responsibilities

• Develop and maintain Python-based AI applications
• Build and maintain document workflows using LLMs and classical NLP
• Debug model performance issues, handle edge cases, and optimize system reliability
• Write comprehensive tests and implement monitoring for AI/ML systems

Example projects you might own in the first 6 months include:

• Develop a specialised agent to automate highly complex commodity trading workflow
• Develop an agent to operate within human workflows, including seamless UI integrations and long running durable executions
• Develop a new AI product to extract key insights from firmwide market intelligence emails for front and middle office

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 AI system reliability - you understand that making AI systems work consistently is the hardest part of the job
• Intellectually curious and adaptable to rapidly evolving AI/ML landscape
• 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 Centre of Excellence for Agentic AI and related tech, providing support in the form of knowledge sharing and tool adoption.

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. At the heart of global supply, Trafigura connects vital resources to power and build the world. Through our Metals and Minerals, Oil & Petroleum Products and Gas, Power and Renewables, commercial divisions, we use infrastructure, logistics and financing to connect producers and consumers, using our deep understanding of the markets we serve to make supply more efficient, secure and sustainable. 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. A career at Trafigura offers a gateway to working on some of the most exciting challenges of a rapidly changing world – from helping to optimise supply chains to developing infrastructure and new markets. In a culture that is founded on openness and energy, our people work as part of a multinational, globally connected team and thrive in a fast-paced environment where they can nurture and commercialise bold ideas. Everyone has a voice and is empowered to collaborate across geographies and disciplines to help shape our business and the wider world. We know the importance and value of diversity in our business and we invest in attracting, developing and retaining talent from all backgrounds. Founded in 1993, Trafigura is one of the largest independent employee-owned commodities groups in the world with over 12,000 people working across more than 60 offices. The Trafigura Group owns global multi-metals producer Nyrstar; fuel storage and distribution company Puma Energy; and joint ventures Impala Terminals, a port and logistics provider, and Nalo Renewables, investing in wind, solar and battery storage projects.