Senior Agentic AI Engineer – GenAI & Multi-Agent Systems

Ubique Systems; Amsterdam; On-site; EUR 110,000 - 160,000; Full time

Job summary

Ubique Systems in Amsterdam is seeking a Senior Agentic AI Engineer to design, build, and deploy enterprise AI solutions using LLMs, RAG, and multi-agent systems to empower automation and decision support. You will work on AI-powered automation, intelligent assistants, and data-driven decision platforms, ensuring scalability, security, and production readiness.

Collaborating with business and engineering teams, you will deliver robust AI-driven solutions and implement MLOps practices across

Qualifications

• Strong Python and SQL programming skills.
• Hands-on experience with LLMs, Agentic AI, RAG, embeddings and vector databases.
• Experience with LangChain, LlamaIndex and cloud AI services.
• Knowledge of Databricks, Spark, Airflow and cloud platforms (Azure AWS).
• Experience with Docker, Kubernetes and CI/CD.

Responsibilities

• Develop Agentic AI applications using LLMs, RAG, embeddings and vector databases.
• Build and optimize AI workflows using LangChain and related tools.
• Design scalable AI and data pipelines on Azure and AWS.
• Implement MLOps practices including model deployment, monitoring and retraining.
• Collaborate with business and engineering teams to deliver AI-driven solutions.

Skills

Python

SQL

LLMs

Agentic AI

RAG

Embeddings

Vector databases

LangChain

LlamaIndex

Azure OpenAI

Databricks

Spark

Airflow

Docker

Kubernetes

CI/CD

Tools

Docker

Kubernetes

CI/CD

Job description

Detailed JD with complete details in the Job Description Must have skills Role SummaryWe are looking for a Senior Agentic AI Engineer to design, build, and deploy enterprise AI solutions using LLMs, RAG, and multi-agent systems. You will work on AI-powered automation, intelligent assistants, and data-driven decision platforms, ensuring scalability, security, and production readiness.Key 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 AzureAWS. 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 Software, Data, or AI Engineering experience. Strong Python and SQL programming skills. Hands-on experience with LLMs, Agentic AI, RAG, embeddings, and vector databases. Experience with LangChain, LlamaIndex, Azure OpenAI, or similar AI frameworks. Knowledge of Databricks, Spark, Airflow, and cloud platforms (AzureAWS). Experience with Docker, Kubernetes and CICD.2