At a Glance
- Tasks: Build innovative AI applications that transform commodities trading operations.
- Company: Join Trafigura, a leader in digital transformation and AI technology.
- Benefits: Competitive salary, diverse workforce, and opportunities for professional growth.
- Other info: Collaborate with a passionate team driving AI innovation for over 5,000 employees.
- Why this job: Make a real impact with cutting-edge AI solutions in a dynamic environment.
- Qualifications: 5-8+ years in backend systems, expert in Python, and functional frontend skills.
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 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 impacts 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)
Preferred Qualifications
- Prior experience in Commodities, Fixed Income, Equities, Asset Management is a plus
Key Responsibilities
- 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 optimise 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
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 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
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 primary user segment, providing ad‑hoc support and understanding user problems.
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.
Please make sure that you submit your CV in English.
Senior Product Engineer employer: Stryker Corporation
Stryker Corporation is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a remote setting while being part of a leading medical communications team. With a strong emphasis on professional development and growth opportunities, employees are encouraged to enhance their skills and advance their careers, all while contributing to meaningful projects that impact healthcare globally.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Engineer
✨Join Local Tech Meetups
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We think you need these skills to ace Senior Product Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Stryker Corporation.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Stryker Corporation and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Stryker Corporation
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Stryker Corporation uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
