Applied AI Engineer

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

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

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:

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

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.

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

You will report directly to the Document AI Lead.

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.