Senior Agentic AI Engineer 10957571

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

Senior Agentic AI Engineer

Requirement ID: 10957571
Location: Amsterdam (Onsite)
Start Date: 16 Sep 2026
Duration: 6 Months
Status: Open
Rate: Neg

Role Overview

We are seeking a highly skilled Senior Agentic AI Engineer (8-10 years) to design, build, and deploy enterprise‑grade AI solutions leveraging LLMs, RAG architectures, multi‑agent systems, and cloud‑native AI platforms. This role focuses on developing intelligent automation, AI‑powered assistants, and scalable decision‑support systems for financial services and capital markets.

You will work end‑to‑end across AI engineering, data pipelines, MLOps, and cloud deployment, ensuring production‑ready, secure, and governed AI solutions.

Key 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.

Required Skills & Experience

• 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.

Competencies

• Digital: Microsoft Azure
• Digital: Kubernetes
• Generative AI
• Capital Markets & Financial Services

Work Setup

• 
  Mode: Complete Onsite
• 
  City: Amsterdam
• 
  Language: English (no local language required)