Applied AI Engineer

Salary: £70,000 - 110,000 per year

Requirements:

• We require 5-8+ years of experience building production AI/ML systems.
• We require modern Python proficiency with deep knowledge of the ecosystem, including Pydantic, FastAPI, asyncio, and type safety.
• We require experience with modern AI frameworks; we currently favour Pydantic AI.
• We require production experience maintaining human-in-the-loop systems and AI monitoring/observability.
• We require strong fundamentals in AI/ML evaluation frameworks.
• We require experience building agentic systems including MCP, tool calling, memory systems, vector-based knowledge stores, and guardrails.
• We require in-depth understanding of modern software design principles, including microservices, event-driven architectures, domain driven design, object oriented programming, and test driven development.
• We require in-depth understanding of the modern software development lifecycle, including CI/CD, IaC, and containerisation.
• We require practical experience with cloud engineering, with a preference for AWS.
• Prior experience in Commodities, Fixed Income, Equities, or Asset Management is a plus.

Responsibilities:

• We develop and maintain Python-based AI applications.
• We build and maintain document workflows using LLMs and classical NLP.
• We debug model performance issues, handle edge cases, and optimize system reliability.
• We write comprehensive tests and implement monitoring for AI/ML systems.
• We rapidly prototype new features, evaluate them, and implement them to production.
• We participate in code reviews, technical design discussions, and architecture decisions.
• We communicate effectively with both technical and non-technical stakeholders to understand and translate business requirements into production code.
• We may own projects such as developing a specialised agent to automate highly complex commodity trading workflows, building an agent to operate within human workflows with seamless UI integrations and long-running durable executions, or creating a new AI product to extract key insights from firmwide market intelligence emails for front and middle office.

Technologies:

• Agentic AI
• AI
• AWS
• asyncio
• CI/CD
• Cloud
• FastAPI
• Support
• MCP
• Python
• microservices
• TDD
• DDD
• UX UI Design
• LLM

More:

We are Trafigura, and our Digital Transformation team is driving an AI-powered evolution in commodities trading. Our 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. This is a hands-on Individual Contributor role based in London, United Kingdom, full time. You will work closely with the Digital Transformation Team and support the Data Science & Engineering teams as a Centre of Excellence for Agentic AI and related technology, helping to develop scalable applications that impact over 5,000 employees daily across our global operations. We report directly to the Document AI Lead and operate within a diverse, equal opportunity environment.

last updated 35 week of 2026