At a Glance
- Tasks: Build innovative AI applications that transform commodities trading and optimise processes.
- Company: Join Trafigura, a leader in digital transformation and AI technology.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Other info: Collaborate with a talented team and drive innovation in a global company.
- Why this job: Make a real impact with cutting-edge AI technologies in a dynamic environment.
- Qualifications: 5-8 years of backend development experience and strong Python skills required.
The predicted salary is between 43200 - 72000 € per year.
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 a Senior Product Engineer to work closely with our AI team to build the applications and systems that bring AI capabilities to our trading operations. You will be building robust AI/LLM applications that directly impact trading operations. This is a hands-on Individual Contributor role.
Required Qualifications- 5-8+ years of experience building production backend systems and APIs
- Functional frontend skills - comfortable with React, TypeScript, and building user interfaces when needed
- Expert-level modern Python proficiency with deep knowledge of the ecosystem (Pydantic, FastAPI, asyncio, type hints)
- Strong experience with REST APIs, microservices architecture, and database design (SQL, NoSQL)
- Experience with modern AI frameworks (we currently favour Pydantic AI) and LLM integration
- Production experience with monitoring, observability, and system reliability
- Strong fundamentals in software testing, evaluation frameworks, and quality assurance
- In-depth understanding of modern software design principles (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)
- Prior experience in Commodities, Fixed Income, Equities, Asset Management is a plus
- Develop and maintain Python-based backend services and APIs
- Build document processing pipelines using LLMs and traditional ML techniques
- Build functional frontend interfaces and integrate them with backend systems
- Debug performance issues, handle edge cases, and optimize system reliability
- Write comprehensive tests and implement monitoring for backend 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:
- Define and build agent-user interactions to integrate AI agents into applications that our 5,000+ employees use every day
- Extend our in-house intelligent document management system with additional AI-powered features with intuitive human-centred UX
- Integrate our firmwide AI Assistant with internal data sources using MCP
- 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 SRE principles and mindset for scaling with a small and lean team
- Intellectually curious and desire to work in Applied AI
- 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 primary user segment, providing ad-hoc support and understanding user problems.
Department OverviewThe 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 StructureYou will report directly to the Document AI Lead.
Equal Opportunity EmployerWe 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.
Senior Product Engineer employer: Trafigura Group
Trafigura is an exceptional employer, offering a dynamic work environment in London where innovation meets impact. As a Senior Product Engineer, you will be at the forefront of our Digital Transformation, collaborating with a diverse team to develop cutting-edge AI technologies that enhance commodities trading. We prioritise employee growth through continuous learning opportunities and foster a culture of inclusivity and collaboration, ensuring that every voice is heard and valued.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for those interviews! Research the company and its culture, especially their approach to AI and digital transformation. Tailor your answers to show how you can contribute to their goals.
✨Tip Number 3
Show off your skills! If you’ve got a portfolio or GitHub with relevant projects, make sure to share it. Real-world examples of your work can set you apart from the crowd.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Product Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Product Engineer role. Highlight your backend systems experience, Python proficiency, and any relevant AI frameworks you've worked with.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role and how your background aligns with our Digital Transformation goals. Be genuine and let your personality shine through!
Showcase Your Projects:If you've worked on projects involving AI, microservices, or cloud engineering, make sure to include them in your application. We love seeing real-world applications of your skills!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures it reaches the right people quickly!
How to prepare for a job interview at Trafigura Group
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, React, and TypeScript. Brush up on your knowledge of REST APIs and microservices architecture, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've solved real business problems using technology. Think about how you can relate your past experiences to the challenges faced in commodities trading and how your engineering mindset can contribute to practical solutions.
✨Understand the Business Context
Familiarise yourself with Trafigura’s operations and the role of AI in commodities trading. Being able to communicate effectively with both technical and non-technical stakeholders is crucial, so show that you understand how your work will impact the broader business.
✨Prepare for Hands-On Challenges
Since this is a hands-on role, be ready for coding challenges or technical assessments. Practice building backend services and APIs, and think about how you would approach debugging performance issues or optimising system reliability in a production environment.
