We are seeking an experienced AI Engineer with strong expertise in Generative AI Machine Learning and Azure Cloud technologies to join an innovative technology team in Amsterdam.
The ideal candidate will have a strong background in designing developing and deploying AI-driven solutions with particular focus on Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) and enterprise-scale AI architectures. This role requires hands-on development skills as well as the ability to design scalable secure and high-performance AI solutions within Azure environments.
Fluent Dutch language skills are mandatory.
Key Responsibilities
Design and develop AI and Generative AI solutions for enterprise applications.
Architect scalable secure and high-performance AI platforms and services on Microsoft Azure.
Build and optimize solutions leveraging Large Language Models (LLMs) prompt engineering techniques embeddings and RAG architectures.
Develop and maintain Python-based AI and machine learning applications.
Integrate AI services with enterprise systems through REST APIs and microservices architectures.
Implement and manage model lifecycle processes including deployment monitoring and performance optimization.
Collaborate with data scientists engineers architects and business stakeholders to deliver AI-driven solutions.
Ensure compliance with security governance and data privacy requirements.
Evaluate emerging AI technologies and recommend best practices for enterprise adoption.
Troubleshoot and optimize AI workloads to ensure reliability scalability and performance.
Required Skills & Experience
Strong experience in Python programming.
Hands-on experience with AI/ML and Generative AI technologies.
Proven experience designing scalable AI architectures and enterprise AI solutions.
Expertise with:
Large Language Models (LLMs)
Prompt Engineering
Embeddings
Retrieval-Augmented Generation (RAG)
Strong experience with Microsoft Azure services including:
Azure Machine Learning
Azure OpenAI
Azure Functions
Azure App Services
Experience building and consuming REST APIs and microservices.
Strong knowledge of SQL and data processing libraries such as Pandas and NumPy.
Experience with AI model deployment monitoring and lifecycle management.
Understanding of data security governance and compliance requirements.
Fluent Dutch language skills (mandatory).
Preferred Qualifications
Experience delivering AI solutions within large enterprise environments.
Familiarity with MLOps practices and AI governance frameworks.
Experience with cloud-native architecture and distributed systems.
Knowledge of modern AI security and responsible AI practices.
Azure certifications related to AI Data or Cloud Architecture are advantageous.
What Were Looking For
We are looking for a passionate AI professional who combines strong software engineering capabilities with deep expertise in Generative AI and cloud architecture. The ideal candidate will be comfortable working across the full AI lifecyclefrom solution design and development to deployment monitoring and optimizationwhile collaborating with both technical and business stakeholders.
AI Engineer / Generative AI Engineer Amsterdam Netherlands (Hybrid/Onsite) Start Date: ASAP Contract Duration: 6 Months About the Role We are seeking an experienced AI Engineer with strong expertise in Generative AI Machine Learning and Azure Cloud technologies to join an innovative technology team...
We are seeking an experienced AI Engineer with strong expertise in Generative AI Machine Learning and Azure Cloud technologies to join an innovative technology team in Amsterdam.
The ideal candidate will have a strong background in designing developing and deploying AI-driven solutions with particular focus on Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) and enterprise-scale AI architectures. This role requires hands-on development skills as well as the ability to design scalable secure and high-performance AI solutions within Azure environments.
Fluent Dutch language skills are mandatory.
Key Responsibilities
Design and develop AI and Generative AI solutions for enterprise applications.
Architect scalable secure and high-performance AI platforms and services on Microsoft Azure.
Build and optimize solutions leveraging Large Language Models (LLMs) prompt engineering techniques embeddings and RAG architectures.
Develop and maintain Python-based AI and machine learning applications.
Integrate AI services with enterprise systems through REST APIs and microservices architectures.
Implement and manage model lifecycle processes including deployment monitoring and performance optimization.
Collaborate with data scientists engineers architects and business stakeholders to deliver AI-driven solutions.
Ensure compliance with security governance and data privacy requirements.
Evaluate emerging AI technologies and recommend best practices for enterprise adoption.
Troubleshoot and optimize AI workloads to ensure reliability scalability and performance.
Required Skills & Experience
Strong experience in Python programming.
Hands-on experience with AI/ML and Generative AI technologies.
Proven experience designing scalable AI architectures and enterprise AI solutions.
Expertise with:
Large Language Models (LLMs)
Prompt Engineering
Embeddings
Retrieval-Augmented Generation (RAG)
Strong experience with Microsoft Azure services including:
Azure Machine Learning
Azure OpenAI
Azure Functions
Azure App Services
Experience building and consuming REST APIs and microservices.
Strong knowledge of SQL and data processing libraries such as Pandas and NumPy.
Experience with AI model deployment monitoring and lifecycle management.
Understanding of data security governance and compliance requirements.
Fluent Dutch language skills (mandatory).
Preferred Qualifications
Experience delivering AI solutions within large enterprise environments.
Familiarity with MLOps practices and AI governance frameworks.
Experience with cloud-native architecture and distributed systems.
Knowledge of modern AI security and responsible AI practices.
Azure certifications related to AI Data or Cloud Architecture are advantageous.
What Were Looking For
We are looking for a passionate AI professional who combines strong software engineering capabilities with deep expertise in Generative AI and cloud architecture. The ideal candidate will be comfortable working across the full AI lifecyclefrom solution design and development to deployment monitoring and optimizationwhile collaborating with both technical and business stakeholders.