AI Engineer (Full-Stack ML Developer)
Job Description
Merkle, a Dentsu company, 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 across production systems. The position offers an exciting opportunity to work with cutting-edge AI technologies, including LLMs and generative AI, while building scalable solutions for major clients.
The role requires strong technical skills in Python, API development, and modern AI tools, with a focus on practical implementation of machine learning solutions. You'll be working in a hybrid environment, spending 2-3 days in the office and the rest working remotely, allowing for both collaborative work and flexible arrangements.
As part of Merkle's team, you'll contribute to projects for major clients like Albert Heijn, Vattenfall, and VodafoneZiggo, while working alongside a diverse, international team. The company offers comprehensive benefits, including generous vacation time, professional development opportunities, and a strong focus on work-life balance.
The position is ideal for someone with 3+ years of software engineering experience who wants to work at the intersection of AI and practical business applications. You'll be part of a growing company that values innovation, diversity, and professional growth, while working with modern tools and technologies in the rapidly evolving field of AI implementation.
What makes this role particularly attractive is the combination of technical challenge and practical impact, working with real-world AI applications while being supported by a large, established organization. The company's commitment to social impact, including volunteer days and sustainability initiatives, adds an extra dimension to the role beyond pure technical work.
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 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
- Front-end skills in React or Next.js for end-to-end application delivery
Benefits For AI Engineer (Full-Stack ML Developer)
- 28 vacation days (25 annual + 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
- Dynamic international work environment
- Fun and inclusive culture with team events
- Personal and online training opportunities
