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 workforce, and opportunities for professional growth.
- Why this job: Make a real impact with cutting-edge AI solutions in a dynamic environment.
- Qualifications: 5-8 years of backend development experience and strong Python skills required.
- Other info: Collaborate with a passionate team driving AI-powered evolution in trading.
The predicted salary is between 48000 - 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.
Please make sure that you submit your CV in English.
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.
Senior Product Engineer in London employer: Trafigura Group
Contact Detail:
Trafigura Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Product Engineer in London
✨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
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to AI and backend systems. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills.
✨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 in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with backend systems, APIs, and any relevant AI frameworks. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re excited about the Senior Product Engineer position. Share specific examples of your past work that relate to our Digital Transformation goals, especially in AI and trading operations.
Showcase Your Projects: If you've worked on projects involving Python, microservices, or AI, make sure to include them! We love seeing real-world applications of your skills, so don’t hold back on the details.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
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. Highlight your experience with AI frameworks and how you've applied them in previous roles, especially in relation to document processing or trading operations.
✨Communicate Clearly
Since you'll be working with both technical and non-technical stakeholders, practice explaining complex concepts in simple terms. This will demonstrate your ability to bridge the gap between tech and business needs, which is crucial for this role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's digital transformation initiatives and how the Document AI team fits into the bigger picture. This shows your genuine interest in the role and helps you understand if the company aligns with your career goals.