AI Engineer (Full-Stack ML Developer)
Job Description
Dentsu, a global leader in customer experience management with over 65,000 employees across 145 markets, is seeking an AI Engineer to join their team in Rotterdam. This role combines machine learning expertise with full-stack development capabilities, focusing on implementing AI solutions in production environments.
The position requires a skilled developer who can bridge the gap between AI models and practical applications, using tools like n8n, Airflow, and modern cloud infrastructure. You'll be responsible for building APIs, deploying models, and creating automated workflows that power client-facing tools and content engines.
The ideal candidate brings 3+ years of software engineering experience, strong Python skills, and familiarity with modern AI/ML technologies including LLMs and vector databases. Front-end development skills in React or Next.js are essential for delivering complete solutions.
Working at Dentsu offers a unique opportunity to impact major global brands while being part of a diverse, international team. The company provides an excellent work-life balance with a hybrid work model, generous vacation policy, and strong focus on personal development. You'll join a collaborative environment where innovation is celebrated and individual growth is supported.
The role offers exposure to cutting-edge AI technologies while working with major clients like Albert Heijn, Vattenfall, and VodafoneZiggo. As part of Dentsu's commitment to innovation and social impact, you'll have opportunities to contribute to meaningful projects while developing your technical and professional skills.
Responsibilities For AI Engineer (Full-Stack ML Developer)
- Design, build, and maintain scalable APIs to serve machine learning and GenAI models
- Integrate LLM pipelines into front-end apps, websites, or campaign systems
- Create modular, event-driven workflows using n8n or comparable platforms
- Collaborate with data scientists and GenAI specialists
- Optimize infrastructure for performance, token usage, and cost control
- Ensure observability, logging, and fallback mechanisms in live AI applications
Requirements For AI Engineer (Full-Stack ML Developer)
- 3+ years of experience in software engineering, with a focus on ML model integration
- Strong Python developer with frameworks like FastAPI, Flask, or similar
- Familiarity with containerization (Docker), cloud deployment (AWS/GCP), and API architecture
- Experience orchestrating automation using n8n, Zapier, Airflow, or similar tools
- Comfort working with vector databases and LLM services (OpenAI, Cohere, Hugging Face)
- Front-end skills in React or Next.js for end-to-end application delivery
Benefits For AI Engineer (Full-Stack ML Developer)
- Dynamic, international work environment
- 28 days annual vacation (25 regular + 3 Well-being Days)
- 2 Social Impact Days for volunteering
- Extensive learning and development opportunities
- Hybrid work model (2-3 days in office)
- Competitive salary and excellent secondary benefits
- Fun and inclusive culture with team events
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