Improve existing solutions by making them scalable, reliable and easy to maintain
Support the design of data pipelines and integrations with the Enterprise Data Platform
Contribute learnings and reusable components into the core AI Platform
AI and automation
Build AI-powered workflows using modern AI frameworks and tools
Harness engineering for Agentic applications including memory, tools, skills and evals
Use AI development tools to improve engineering productivity and solution quality
Production support
Deploy applications into production with production-grade observability
Investigate issues, identify root causes and work with other teams to resolve them
Improve reliability through testing, monitoring and continuous enhancements
Maintain documentation and contribute to operational best practices
Security and engineering standards
Build applications that meet security and compliance standards
Implement authentication and role-based access using enterprise identity platforms
Work with security and platform teams to ensure solutions are ready for production
Collaboration
Work with engineers, architects, product teams and business stakeholders
Share knowledge and contribute reusable components and best practices
Help break down business problems into practical technical solutions
Required qualifications
Proven experience in software engineering
Experience building and deploying production applications
Experience working closely with users or business stakeholders to deliver software solutions
Experience with enterprise applications, financial services, commodities or other complex business environments is helpful but not essential
Technical skills
Python
React
Node.js
PostgreSQL or other relational databases
REST APIs and system integrations
AWS or another cloud platform
Docker and CI/CD pipelines
SQL and data modelling
Technical Knowledge
Strong proficiency in Python and full-stack engineering: React (or equivalent modern front-end framework), PostgreSQL; additional languages (Go, Java) a plus
Understanding of database systems, SQL, NoSQL, data modelling, ETL pipelines, REST/gRPC APIs and microservices architecture
Experience with modern cloud engineering including platforms (AWS), Docker and Kubernetes; CI/CD in GitLab (or equivalent); infrastructure-as-code (e.g. Terraform)
Working knowledge of identity and access management with OIDC / SAML and Azure Entra ID
Experience with LLMs, RAG systems, prompt engineering and AI evaluation frameworks; familiarity with MLOps, model deployment and AI observability/guardrails
Strong familiarity with AI-assisted development tools (e.g. Claude Code)
Department overview
The AI Hub is responsible for enabling AI and adoption across Trafigura.
Reporting Structure
Reports to the Head of AI. Embedded with the assigned business domain.
The role has regular working relationships with domain leadership and users; and with peer IT functions including Enterprise Architecture and Platform Engineering.
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.
