Applied AI Engineer

Trafigura Group; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading commodities trading firm in London is seeking an Applied AI Engineer to develop and scale innovative AI solutions for Document AI applications. The successful candidate will have 5-8+ years of experience in AI/ML, modern Python proficiency, and a thorough understanding of cloud engineering. Responsibilities include building document workflows, debugging models, and communicating with stakeholders. This role emphasizes a practical approach to technology choices and a commitment to AI system reliability.

Qualifications

• 5-8+ years of experience building production AI/ML systems.
• Strong fundamentals in AI/ML evaluation frameworks.
• Practical experience with cloud engineering, preferably AWS.

Responsibilities

• Develop and maintain Python-based AI applications.
• Build and maintain document workflows using LLMs.
• Debug model performance and optimize system reliability.
• Rapidly prototype new features and evaluate them.

Skills

Modern Python proficiency

Deep knowledge of AI frameworks

Experience with human-in-the-loop systems

Understanding of AI/ML evaluation frameworks

Knowledge of CI/CD and containerization

Experience with cloud engineering (AWS preferred)

Understanding of microservices architecture

Experience with LLMs and classical NLP

Job description

Applied AI Engineer page is loaded## Applied AI Engineerlocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: R-017109**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* 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.[](blob:https://trafigura.wd3.myworkdayjobs.com/fb915048-22a1-4717-9e81-7264fc43e162)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.