Senior Full-stack AI Engineer
$70,000–$90,000 year
HybridAmsterdam, North Holland, The Netherlands or Antwerpen, Flanders, Belgium
Job Summary
Own end-to-end development of AI-powered applications, turning prototypes into secure, scalable production systems across frontend, backend, data, models, and infrastructure. Build intuitive user experiences with React and backend services using Python, FastAPI, and modern frameworks while designing solutions leveraging NLP, LLMs, RAG, and agentic workflows. Manage cloud infrastructure, CI/CD pipelines, and observability to ensure system reliability, security, and performance. Partner with Product stakeholders to define problems, establish technical standards, and drive measurable business impact through intelligent tools that teams rely on at scale.
Required Qualifications
- 5+ years of experience in software engineering, with strong hands-on experience across full-stack product development
- Production experience building and deploying AI- or machine-learning-powered applications
- Advanced proficiency in Python
- Experience with frameworks such as FastAPI, PyTorch, and scikit-learn
- Strong experience with React and modern frontend development
- Hands-on experience with, LLMs, and modern generative AI approaches, including RAG, agentic workflows, tool use, and multi-agentsystems
- Experience with model evaluation, data preprocessing, performance optimization, and production monitoring
- A solid understanding of system design, software architecture, APIs, databases, and scalable application development
- Experience with PostgreSQL, Supabase, Firebase, or comparable data platforms
- Hands-on experience with cloud infrastructure, Docker, CI/CD, and infrastructure-as-code tools such as Terraform
- The ability to independently deliver an end-to-end solution across frontend, backend, AI, data, and infrastructure
- A pragmatic mindset, balancing technical ambition with usability, speed, and measurable business value
- A degree in Computer Science or a related technical field is valuable, but equivalent practical experience matters just as much
Desired Qualifications
- Experience with Kubernetes and cloud platforms such as Azure or Google Cloud is a strong advantage
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