Senior Agentic AI Engineer: LLMs, RAG & MLOps (Amsterdam)

Itproposal; Amsterdam; On-site; EUR 90,000 - 140,000; Full time

Job summary

Itproposal in Amsterdam is seeking a Senior Agentic AI Engineer to design, build, and deploy enterprise-grade AI solutions leveraging LLMs, RAG architectures, multi-agent systems, and cloud-native platforms. This role focuses on intelligent automation, AI-powered assistants, and scalable decision-support for financial services.

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

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

Python

SQL

LLMs

Agentic AI

RAG

embeddings

vector databases

LangChain

LlamaIndex

Azure OpenAI

Databricks

Spark

Airflow

Docker

Kubernetes

CI/CD

Tools

Docker

Kubernetes

Databricks

Spark

Airflow

LangChain

LlamaIndex

Azure OpenAI

Azure/AWS

Job description

Itproposal in Amsterdam is seeking a Senior Agentic AI Engineer to design, build, and deploy enterprise-grade AI solutions leveraging LLMs, RAG architectures, multi-agent systems, and cloud-native platforms. This role focuses on intelligent automation, AI-powered assistants, and scalable decision-support for financial services.

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