machine learning engineer for payment products

Enfint; Amsterdam; On-site; EUR 120,000 - 180,000; Full time

Job summary

Adyen ищет опытного специалиста по искусственному интеллекту для разработки и внедрения продвинутых AI-инструментов в торговые решения. Ваша работа охватит создание агентных систем, инструментов для взаимодействия с платежными данными и настройку рабочих процессов, которые ускорят принятие решений и улучшат опыт клиентов.

Вы будете наставлять команды, проектировать стратегии оценки и обеспечивать воспроизводимость и надёжность экспериментов, работая в офисе Амстердама и сотрудничая с

Qualifications

• 7+ лет опыта в прикладном AI/ML исследовании или инженерии.
• Опыт выпуска AI систем в продакшн, включая агентные/LLM-решения.
• Глубокие знания языковых моделей и Generative AI.
• Навыки архитектуры, пост-тренинга и оптимизации вывода на масштабе.
• Опыт проектирования агентных систем и многозадачных рабочих процессов.
• Умение писать чистый Python код.
• Опыт работы с хотя бы одним продакшн-фреймворком для агентов.

Responsibilities

• Discover critical challenges across product and engineering teams and rapidly build AI prototypes to demonstrate value
• Own the end-to-end development of bespoke AI tools for merchant experience, pricing models, and internal workflows
• Define and lead evaluation strategies for agentic systems and LLMs
• Design internal benchmarks covering domain complexity, edge cases, capabilities, and failure modes
• Build reusable evaluation infrastructure embedded in the development process
• Provide technical expertise on agentic frameworks, retrieval and search strategies, and agent tool-use approaches across partner teams
• Identify connections across AI initiatives and help teams avoid duplicated work or incorrect approaches
• Set engineering standards for the team and company
• Mentor through problem decomposition, research methodology, and code review
• Promote reproducibility, documentation, and rigorous evaluation practices across the AI organization

Skills

Applied AI/ML

Production AI systems

Python

LLM / Generative AI

Tools

Agentic framework

Job description

Описание:

Adyen provides payments, data, and financial products in a single solution for customers such as Meta, Uber, H&M, and Microsoft. Its Payment Solutions team processes billions of transactions and helps businesses create seamless payment experiences through a global financial technology platform. *Instagram и Facebook принадлежат компании Meta Platforms Inc., деятельность которой признана экстремистской и запрещена на территории РФ

Задачи:

• Discover critical challenges across product and engineering teams and rapidly build AI prototypes to demonstrate value
• Own the end-to-end development of bespoke AI tools for merchant experience, pricing models, and internal workflows
• Define and lead evaluation strategies for agentic systems and LLMs
• Design internal benchmarks covering domain complexity, edge cases, capabilities, and failure modes
• Build reusable evaluation infrastructure embedded in the development process
• Provide technical expertise on agentic frameworks, retrieval and search strategies, and agent tool-use approaches across partner teams
• Identify connections across AI initiatives and help teams avoid duplicated work or incorrect approaches
• Set engineering standards for the team and company
• Mentor through problem decomposition, research methodology, and code review
• Promote reproducibility, documentation, and rigorous evaluation practices across the AI organization

Требования:

• 7+ Years of hands-on experience in applied AI/ML research or engineering
• A proven track record of shipping AI systems, including agentic or LLM-powered systems, in production
• Deep expertise in language models and Generative AI
• Hands-on experience with architecture, post-training, inference optimization, context engineering, and failure modes at scale
• Experience designing and operating agentic systems at scale, including multi-agent orchestration, tool use, memory and context management, state handling for long-running workflows, and human-in-the-loop design
• Experience designing evaluation frameworks or internal benchmarks beyond standard metrics
• Understanding of LLM-as-judge failure modes and meaningful system evaluation
• Strong foundation in supervised learning, ensemble methods, optimization, probabilistic modeling, and statistics
• Ability to write clean, well-structured, production-ready Python code
• Hands-on experience with at least one production-grade agentic framework
• Nice to have: Familiarity with financial data, payments, fraud detection, or risk systems, publications, conference presentations, open-source contributions, observability and evaluation tooling, MLOps, model deployment pipelines in large-scale environments.

Условия:

The role is based out of the Amsterdam office; The company is office-first and values in-person collaboration; Remote-only work is not offered.