Senior Agentic AI Engineer: LLMs, RAG & MLOps

Vacaturebank; Amsterdam; Hybrid; EUR 120,000 - 180,000; Full time

Job summary

Vacaturebank in Amsterdam is seeking a Senior Agentic AI Engineer (8-10 years) to design, build, and deploy enterprise-grade AI solutions using LLMs, RAG architectures, multi-agent systems, and cloud-native AI platforms.

You will work end-to-end across AI engineering, data pipelines, MLOps, and cloud deployment to ensure production-ready, secure, and governed AI solutions for financial services and capital markets.

Qualifications

• 8+ years in Software Engineering, Data Engineering, or AI Engineering.
• Strong programming skills in Python and SQL.
• Hands-on experience with LLMs, Agentic AI, RAG, embeddings, vector databases.
• Experience with LangChain, LlamaIndex, Azure OpenAI, or similar frameworks.
• Knowledge of Databricks, Spark, Airflow, and cloud platforms (Azure/AWS).
• Experience with Docker, Kubernetes, and CI/CD pipelines.

Responsibilities

• Develop advanced Agentic AI applications using LLMs, RAG, embeddings, and vector databases.
• Build and optimize AI workflows using LangChain, LlamaIndex, and cloud AI services (Azure/AWS).
• Design scalable AI and data pipelines using Databricks, Spark, Airflow, and cloud-native architectures.
• Implement MLOps practices including model deployment, monitoring, evaluation, and automated retraining.
• Collaborate with business stakeholders, product owners, and engineering teams to deliver AI-driven solutions.
• Ensure AI platform security, governance, compliance, and reliability.

Skills

Experience: 8+ years

Python

SQL

LLMs

Agentic AI

RAG

Embeddings

Vector databases

LangChain

LlamaIndex

Azure OpenAI

Databricks

Spark

Airflow

Docker

Kubernetes

Tools

Azure OpenAI

LangChain

LlamaIndex

Databricks

Spark

Airflow

Docker

Kubernetes

Job description

Vacaturebank in Amsterdam is seeking a Senior Agentic AI Engineer (8-10 years) to design, build, and deploy enterprise-grade AI solutions using LLMs, RAG architectures, multi-agent systems, and cloud-native AI platforms.

You will work end-to-end across AI engineering, data pipelines, MLOps, and cloud deployment to ensure production-ready, secure, and governed AI solutions for financial services and capital markets.