Senior Agentic AI Engineer

Project overview

Senior Agentic AI Engineer needed to design, build, and deploy enterprise-grade AI solutions using LLMs, RAG, embeddings, and multi-agent systems. The role focuses on AI-powered automation and intelligent assistants, building scalable AI/data pipelines on Azure/AWS, and implementing MLOps for deployment, monitoring, evaluation, and retraining. Strong Python/SQL, hands-on experience with LangChain/LlamaIndex and vector databases, plus cloud, Databricks/Spark/Airflow, and containerized CI/CD (Docker/Kubernetes) are required. Contract role based onsite in Amsterdam.

Responsibilities

• Develop Agentic AI applications using LLMs, RAG, embeddings, and vector databases.
• Build and optimize AI workflows using LangChain, LlamaIndex, and cloud AI services.
• Design scalable AI and data pipelines on Azure/AWS.
• Implement MLOps practices including model deployment, monitoring, evaluation, and retraining.
• Collaborate with business and engineering teams to deliver AI-driven solutions.
• Ensure security, governance, and reliability of AI platforms. Required Skills
• 8+ years of Software, Data, or AI Engineering experience.
• Strong Python and SQL programming skills.
• Experience with LangChain, LlamaIndex, Azure OpenAI, or similar AI frameworks.
• Knowledge of Databricks, Spark, Airflow, and cloud platforms (Azure/AWS).

Requirements

• 8+ years of Software Engineering, Data Engineering, or AI Engineering experience
• Python
• SQL
• LLMs (Large Language Models)
• Agentic AI / multi-agent systems
• RAG (Retrieval-Augmented Generation)
• Embeddings
• Vector databases
• LangChain and/or LlamaIndex
• Azure and/or AWS cloud platforms
• Azure OpenAI (or similar cloud AI services)
• Databricks
• Apache Spark
• Apache Airflow
• MLOps (deployment, monitoring, evaluation, retraining)
• Docker
• Kubernetes
• CI/CD
• Enterprise scalability, security, governance, and reliability considerations

Project details

• Start: flexible
• Remote: onsite
• Location: Netherlands, NL