Senior Software Engineer - ML/AI

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Senior Software Engineer - ML/AI

At Adyen, we are the financial technology platform of choice for the world's leading companies. Our Payment Solutions team is the engine behind this, processing billions of transactions while empowering businesses to create seamless payment experiences. As Adyen and our merchants scale globally, the complexity and volume of our operational knowledge are growing exponentially.

Our team’s mission is to accelerate Adyen’s internal AI transformation and make critical information and insights instantly accessible so every team can make informed decisions, when and where it matters most. We build the targeted AI solutions and custom tools that our teams need to thrive, filling the critical gaps. We're looking for an entrepreneurial builder who can uncover these unique operational challenges and deliver the high-impact products that will redefine how Adyen works.

What you’ll do:

• Discover and Build: You will be an explorer within Adyen, proactively engaging with product and engineering teams to uncover their most critical challenges. You won't wait for instructions; you'll find high-impact opportunities and rapidly design and build AI prototypes (MVPs) to demonstrate value.
• Develop Strategic AI Products: You will own the end-to-end development of bespoke AI tools that solve problems unique to Adyen's scale. Whether it's optimizing merchant experience, enhancing pricing models, or improving internal workflows, you will build intelligent solutions.
• Drive the AI Roadmap: Functioning as an AI champion, you will translate ambiguous business problems into a tangible roadmap. You will own initiatives from ideation and stakeholder alignment through to deployment and impact assessment, focusing relentlessly on delivering measurable results.
• Lead and mentor: You will initiate, lead, and guide others in the full cycle of complex features or systems. You will proactively share knowledge, inspire other engineers through code reviews, and raise the bar on our software creation process within and beyond the team
• Push the Boundaries of Our Tech Stack: You will become an expert on our internal systems and external AI platforms, identifying their limits and building the custom enhancements and integrations that unlock their full potential for our specific payment-processing context.

Who you are:

• You have 5+ years of experience in a Data Science, Data Engineering, or Software Engineering role, with at least 2 years dedicated to building and deploying production-ready GenAI models.
• You possess practical experience in building and deploying RAG systems using vector databases like Pinecone, Weaviate, or Qdrant, along with deep knowledge of LLM integration, embedding models, and semantic search techniques.
• You are a technical expert proficient in Python (LangChain, LangGraph or similar), SQL, and big data frameworks (Spark, Hadoop, Kafka).
• You have a strong understanding of software engineering best practices and MLOps principles, utilizing tools like Git, Airflow, CICD, Docker, and Kubernetes to ensure robust and scalable solutions, and you are capable of leading incident response and ensuring live environment reliability.
• You are a proactive self-starter who takes initiative on projects, from initial ideation and experimentation to final deployment and iteration.
• You are an exceptional communicator, capable of translating complex data-driven insights and outcomes to a diverse range of stakeholders.
• You possess an innovative and experimental mindset, embracing a "launch fast and iterate" approach to problem-solving and product development.
• You are a champion for a data-centric culture, skilled in advocating for best practices, ensuring documentation is complete and up-to-date, and driving continuous improvement within technical teams

Challenges you could potentially tackle :

• Engineering an NLP-powered chatbot to democratize data discovery across Adyen's data landscape, enabling users to query table metadata using natural language.
• Building a knowledge management system that ingests and indexes conversations from our primary communication tool, decreasing repetitive questions and making undocumented technical solutions and business logic discoverable.
• As we are in a discovery phase, we also expect you to find your own opportunities! 

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This role is based out of our Amsterdam office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.