
Adyen · Amsterdam
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 fina...
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 AI Engineer
We are looking for a Senior AI Engineer to join our AML (Anti-Money Laundering) Tech team in Amsterdam. You will help build our
next-generation financial crime investigation system, leveraging AI to manage and mitigate risk at scale. With our global
footprint, you will have access to a uniquely rich dataset to fuel these solutions.
You will bridge the gap between applied research and engineering excellence, taking ownership of the end-to-end lifecycle of these
AI systems – from initial ideation to production. We are building a Human-in-the-Loop system. By evolving our capabilities from
isolated workflows to a highly performant, trustworthy agentic system, you will shape how humans and AI collaborate in a complex,
regulated domain.
This is a unique opportunity to be part of the foundational group driving AI product development at Adyen. You will be building
zero-to-one products, setting the architectural standards for our team, and defining how AI is practically deployed across the
company.
investigation workflows (orchestration, tool dispatching, state and memory management, error recovery, human-in-the-loop
design).
data to support Adyen’s massive operational scale and diverse use cases.
test LLM reliability, edge cases, failure modes, and overall production readiness.
collaboration with a high-performing product team and leadership, guide company-wide MLOps decisions, evaluate third-party
tools, and lead cross-functional integration.
productionizing AI systems.
context engineering, fine-tuning, RAG, inference optimization, orchestrating model interactions with external tools to deliver
solutions, multi-step tasks). You know exactly what separates a research prototype from a production agent.
"LLM-native" metrics (e.g., granular tracing, tokens/sec, cost-per-request).
architecture, and mentors the team to build for scale.
broader ML ecosystem and pragmatically choose the right tool for the problem.
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.
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. 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. Senior Software Engineer AI/ML - Payments To position our Payments organization at the technological forefront, we are establishing a GenAI team focused on identifying high-impact use cases for automation through agentic capabilities. As a Senior Software Engineer AI/ML, you will undertake some of the most technically demanding work in applied AI: designing agents that reason over complex, multi-step tasks, building the infrastructure to ensure production-grade reliability, and shaping how humans and AI collaborate at scale within a global payments company. This is not a narrow research role. You will take full ownership of your work, from early research through deployed production systems, influence the team's technical direction, and act as a force multiplier for the broader AI organization, including contributing to custom model development for structured financial data, and working toward our longer-term ambition of defining how humans and AI collaborate at scale across the company. 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. * Own Evaluation and Benchmarking: Define and lead the evaluation strategy for the agentic systems and LLMs your team builds and deploys. Design internal benchmarks grounded in real domain complexity, probing for genuine capabilities, edge cases, and failure modes that standard metrics miss. Build reusable evaluation infrastructure that is embedded in the development process, not bolted on after the fact. * Provide AI Expertise Across the Organization: Serve as a technical resource for AI initiatives across Adyen - evaluating agentic frameworks, retrieval and search strategies, or agent tool-use approaches across partner teams. Surface connections across initiatives and help teams avoid duplicating work or converging on the wrong approach. * Raise the Bar: Set engineering standards for the team and company. Provide mentorship through problem decomposition, research methodology, and code review. Champion reproducibility, documentation, and rigorous evaluation practices across the AI organization. Who you are: * You have 7+ years of hands-on experience in applied AI/ML research or engineering, with a clear track record of shipping AI systems, including agentic or LLM-powered systems, in production environments. * You have deep expertise in language models and Generative AI, with hands-on depth across several of: architecture, post-training (fine-tuning, RLHF), inference optimization, context engineering (RAG), and failure modes at scale. * You have proven experience designing and operating agentic systems at scale, multi-agent orchestration, tool use, memory and context management, state handling for long-running workflows, and human-in-the-loop design. You understand what separates production agents from research prototypes. * You are rigorous and systematic about evaluation. You have designed evaluation frameworks or internal benchmarks that go beyond standard metrics. You understand the failure modes of LLM-as-judge approaches and know how to measure what actually matters for a given system and use-case. * You have a strong foundation in classical machine learning: supervised learning, ensemble methods, optimization, probabilistic modeling, and statistics. You reach for the appropriate tool for the problem. * You write clean, well-structured, production-ready code, primarily Python, and you hold research code to an engineering standard. * You have hands-on experience with at least one production-grade agentic framework. Nice to Have (tell us about them!) * Familiarity with financial data, payments, fraud detection, or risk systems. * Track record of external visibility: publications, conference presentations, or open-source contributions. * Experience with observability and evaluation tooling. * Familiarity with MLOps and model deployment pipelines in large-scale environments. 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.
About Creative Fabrica Creative Fabrica is a subscription platform serving millions of creators, designers, and crafters worldwide. We're built on the principle that everyone can be creative. We remove what stands in the way: expensive software, technical expertise, and time-consuming production. Our Studio AI suite offers more than 26 specialized AI tools that automate technical work: generate custom images, remove backgrounds, create fonts, and produce publication-ready designs in minutes instead of hours. Our content library contains 15+ million commercially-licensed fonts, graphics, SVGs, and templates, giving you professional-quality building blocks without the expense or time of creating assets from scratch. ABOUT THE TEAM: STUDIO AI Studio AI is Creative Fabrica's bet on what creative software looks like when AI is the default, not a feature. We built a single platform where anyone can generate and edit images, video, audio, 3D models, and vector graphics using state-of-the-art generative AI. Our tools serve hundreds of thousands of creators every day, from hobbyist crafters to professional designers and everything in between, all in one place. We move fast, integrate frontier models into production-ready workflows, and build the infrastructure that gives creators every tool they need to turn any idea into professional-grade media, at scale. ABOUT THE ROLE As a Senior Backend Engineer (Go), you will be the architect of our multimodal generation pipeline. You won't just be building APIs; you’ll be designing the high-concurrency systems that orchestrate "heavy" AI workloads across any media domains. Your goal is to make complex, multi step AI generation feel instantaneous and reliable for a global audience of creators. WHAT YOU WILL DO: * Orchestrate Multimodal Workflows: Design and scale Go-based microservices that manage the lifecycle of AI generations. * Performance Engineering: Optimize our ConnectRPC services and async processing pipelines (Kafka + SQS) to handle long-running, resource-intensive inference tasks without compromising platform stability. * Build the Creative Engine: Develop the backend logic for advanced features like multimodal orchestration. * Data & Infrastructure: Work with AWS to manage massive data throughput and integrate with high-performance storage and compute clusters. * Collaborate with AI Researchers: Bridge the gap between raw model outputs and a polished "One Person Studio" user experience. WHAT YOU WILL NEED: * Advanced Go Engineering: Extensive experience building and scaling Go services in high-traffic, high-volume SaaS environments. * Distributed Systems Mastery: Proven ability to design microservices that utilize asynchronous processing (Kafka & SQS) and low-latency communication (gRPC/ConnectRPC/GraphQL). * Cloud Architecture: Deep knowledge of AWS (EKS, S3, Lambda) and experience managing complex compute environments. * Product Rigor: A background in building professional-grade creative tools or media-heavy applications. * Software Best Practices: A quality-first mindset regarding code reviews, testing strategies, and observability. NICE TO HAVE: * Media Processing Experience: Familiarity with handling varied media types (video transcoding, audio synthesis, vector manipulation). * AI Infrastructure: Experience with model serving at scale or managing GPU-accelerated workloads. * Entrepreneurial Mindset: Experience in a fast-paced environment where you help define the product vision and iterate quickly. IS THIS YOU? Get in touch! We'd love to speak to you. You can apply by clicking the "Apply now" button. Creative Fabrica is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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. Documentation Experience Team The Documentation Experience Team is responsible for building the systems and foundations that improve how technical knowledge is created, structured, and delivered across Adyen’s developer ecosystem. You will work on core challenges related to content quality, freshness, consistency, scalability and the ability to make information usable both for people and agents. In this role, you will help design and evolve the architecture that powers the next generation of Adyen’s knowledge platform. This includes shaping structured content models, connecting structured content from multiple sources and building interfaces that make technical documentation accessible across products and tools as knowledge. Your work will enable more reliable, contextual, and efficient access to information for customers, developers, and internal teams. The team is a strategic part of the Developer Experience group within the Customer Experience solution. Our mission is to provide clear, accurate, and accessible knowledge that supports customers throughout their integration journey and helps them move quickly with confidence. Core Focus Area * Content Architecture: Design scalable content structures and metadata models that support consistency, reuse, and discoverability across documentation and technical knowledge. * Knowledge Systems Design: Contribute to the design of structured knowledge representations that allow information to be connected, navigated, and used programmatically. * Ingestion and Data Processing: Develop reliable pipelines and services that unify content from multiple sources, ensuring quality, accuracy, and readiness for downstream use. * APIs for Knowledge Access: Build and maintain high performance APIs that make technical knowledge available across tools, products, and user interfaces. * Quality, Instrumentation, and Continuous Improvement: Implement monitoring, instrumentation, and quality controls that improve reliability, support data informed decision making, and ensure the long term scalability of the knowledge platform. What You’ll Do * Architect, implement and deliver the next generation of Adyen’s documentation platform, establishing the foundation for intelligent and contextual knowledge delivery via AI native interfaces. * Build a first-class Documentation Experience through close collaboration with engineering, technical writing, product design, and product management teams. * Co-lead Adyen’s Documentation Experience strategy with the Team Lead and Product manager on direction and execution ensuring alignment with business goals. * Define the technological direction of the team, propose future-proof solutions and drive innovation and adoption of new technology. * Build strong cross-functional relationships and influence stakeholders with diverse backgrounds in adjacent teams. * Provide technical leadership, conduct thorough code reviews, mentor engineers, fostering a culture of engineering excellence and performance. Who You Are * You have deep expertise in (semantic & content) modelling; from modelling textual content meant to be published on the web managed in distributed sources (e.g. headless CMS, Git repositories). * You have experience in building robust content ingestion pipelines. Extracting and transforming unstructured and structured content sources into knowledge graphs. Experience in Neo4j, Kafka or RabbitMQ is preferred. * You have experience in designing, building and maintaining reliable, high performing APIs for efficient complex data retrieval. Experience in Java, PostgreSQL, REST and GraphQL is preferred. * You have experience working with search indices (e.g. ElasticSearch) and implementing indexing strategies maximising search relevance for complex queries. * You have an understanding of DevOps principles. Experience in Jenkins, Gitlab CI/CD and Kubernetes is preferred. * You have a strong drive for automation and leveraging technology to improve efficiency and quality. Being AI native and being hands-on with new technology is preferred. * You’re an excellent verbal and written communicator, able to materialise strategy into technical initiatives and communicate complex technical concepts. * You are comfortable representing technical points of view in front of internal and external technical audiences. * You have a strategic mindset and thrive in cross-functional environments with a passion for driving customer experience impact. 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.