AI engineer

Young Financials; Amsterdam; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Competitive salary

Annual training budget 5000€

Hackathons during work hours

Development days and conference access

Biweekly knowledge-sharing sessions

Cloud environments access (GCP, AWS, <

Job summary

Young Financials ищет AI-инженера, который соединит data science и разработку ПО, создавая масштабируемые AI-решения для производства. Вы будете сочетать ML-знания с инженерией, переводя инновации в практичные продукты для клиентов разных секторов.

Работа гибридная: часть времени на площадках клиентов, часть в офисе и дома. Компания предлагает конкурентную зарплату, бюджет на обучение 5 000 €, практические хакатоны, конференции и доступ к облачным средам GCP/AWS/Azure; поддержка здоровья и

Qualifications

• У вас есть склонность как к AI, так и к программной инженерии/данным.
• Вы учитесь быстро, берете инициативу и предпринимательский настрой.
• Вам нравится работать на разных клиентах и узнавать новые рабочие окружения.
• Свободно говорите на нидерландском языке.
• Интерес к современным технологиям: CI/CD, IaC, облачные платформы и интеграции GenAI/LLM.
• Есть опыт или интерес к программированию, скриптам и шаблонизации, цените качественный код.
• Умеете ясно объяснять технические вопросы коллегам и стейкхолдерам.
• Вы проживаете в Randstad.

Responsibilities

• Разрабатывать AI/ML‑приложения, пригодные для эксплуатации в проде.
• Реализовывать традиционные ML‑модели, решения Generative AI и автономные системы.
• Оценивать и оптимизировать AI‑решения для демонстрации бизнес‑ценности.
• Строить масштабируемые, надёжные, тестируемые и поддерживаемые приложения.
• Сотрудничать с дата‑сайентистами, инженерами ПО и стейкхолдерами.
• Работать с современными технологиями: CI/CD, IaC, облако, GenAI/LLM интеграции.
• Вести проекты для разных клиентов в различных секторах.

Skills

AI & software affinity

Entrepreneurial mindset

Fast learner

Dutch language

Communication skills

Client-facing experience

Education

Нет формального требования к образованию

Tools

CI/CD pipelines

Infrastructure-as-Code

Cloud platforms

GenAI/LLM integrations

Templating

Job description

Описание: Do you know the difference between Machine Learning and Artificial Intelligence, understand that scalability cannot be taken for granted, and get energy from programming? As an AI Engineer, you connect data scientists and software engineers, developing scalable AI solutions that are actually put into production. In this role, you combine knowledge of Machine Learning with strong software engineering skills. You develop AI and ML applications and translate innovative technology into practical solutions that add value to organizations.

Задачи

• Develop AI and Machine Learning applications suitable for production environments;
• Implement traditional ML models, Generative AI solutions, and autonomous AI systems;
• Evaluate and optimize AI solutions to deliver demonstrable business value;
• Build scalable, reliable, testable, and maintainable applications;
• Collaborate with data scientists, software engineers, and various stakeholders;
• Work with modern technologies such as CI/CD pipelines, Infrastructure-as-Code, cloud platforms, and GenAI/LLM integrations;
• Carry out challenging projects for different clients across a range of sectors.

Требования

• You have an affinity for both AI and software engineering and/or data engineering;
• You learn quickly, take initiative, and have an entrepreneurial mindset;
• You enjoy working for different clients and discovering new working environments;
• You are fluent in Dutch;
• You are interested in modern technologies such as CI/CD pipelines, Infrastructure-as-Code, cloud platforms, and GenAI/LLM integrations;
• You have experience with or an interest in programming, scripting, and templating, and value high-quality code;
• You enjoy sharing your knowledge and can clearly explain technical issues to colleagues and stakeholders;
• You live in the Randstad.

Условия

You will join a professional and innovative working environment where personal development, collaboration, and knowledge sharing are central. You work in a hybrid setup, dividing your time between client sites, the office, and home.

• A competitive salary;
• Monthly hackathons and extensive hackathon days during working hours;
• An annual training and development budget of €5,000;
• Six additional development days per year;
• Opportunities to attend relevant conferences and participate in them as a speaker;
• Biweekly knowledge-sharing sessions including dinner;
• Access to cloud environments in GCP, AWS, and Azure for experimentation;
• Various benefits focused on physical and mental health;
• Healthy lunches, snacks, and drinks at the office;
• A technology budget and monthly mobility budget;
• Options to lease a car or electric bicycle and a business public transport card;
• An unlimited book budget and a good pension plan;