Applied AI Engineer

Trafigura; Greater London; On-site; GBP 90,000 - 170,000; Full time

Benefits offered by this job

Health insurance

Job summary

Trafigura is seeking an Applied AI Engineer to grow the Document AI platform, building robust, production-ready AI solutions for a document-intensive commodities trading environment. You will work hands-on as an Individual Contributor, delivering end-to-end AI features that automate complex workflows and unlock actionable insights.

Collaborating with the Digital Transformation team, you will apply state-of-the-art ML tooling, implement monitoring for AI systems, and participate in code and

Qualifications

• 5-8+ years of experience building production AI/ML systems.
• Proficient in Python with Pydantic, FastAPI, asyncio, and type safety.
• Experience with modern AI frameworks; preference for Pydantic AI.
• Production experience with human-in-the-loop systems and AI monitoring.
• Strong fundamentals in AI/ML evaluation frameworks.
• Experience building agentic systems including MCP, tool calling, memory systems, vector stores, guardrails.
• Strong understanding of CI/CD, IaC, and containerisation.
• Practical cloud experience; preference for AWS.

Responsibilities

• Develop and maintain Python-based AI applications.
• Build and maintain document workflows using LLMs and NLP.
• Debug model performance issues, handle edge cases, and optimize reliability.
• Write tests and implement monitoring for AI/ML systems.
• Prototype new features, evaluate them, and push to production.
• Participate in code reviews and architecture discussions.
• Communicate requirements to production teams and stakeholders.

Skills

Python

FastAPI

asyncio

type safety

Pydantic

AI frameworks

observability

CI/CD

IaC

Containerisation

AWS

agentic systems

memory systems

vector stores

guardrails

Tools

Pydantic AI

AWS

Job description

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 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

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

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.