Senior Agentic AI Engineer: Enterprise-Scale AI Systems

Stafide

Amsterdam

On-site

EUR 120,000 - 180,000

Full time

2 days ago
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Job summary

Stafide seeks a Senior Agentic AI Engineer to design, build, and deploy enterprise-grade AI solutions using LLMs, RAG, and multi-agent systems in Amsterdam. You will develop AI-powered automation, intelligent assistants, and data-driven decision platforms, applying LangChain, LlamaIndex, embeddings, and vector databases to deliver production-ready results.

You'll work across Azure and AWS, implement MLOps, ensure security and governance, collaborate with business and engineering teams, and

Qualifications

  • 8–10 years of experience in Software Engineering, Data Engineering, or AI Engineering.
  • Strong hands-on programming with Python and SQL.
  • Hands-on experience with LLMs, Agentic AI, RAG, embeddings, and vector databases.
  • Experience with LangChain and/or LlamaIndex.
  • Experience with Azure OpenAI or similar AI frameworks and cloud services.
  • Knowledge of Databricks and Apache Spark.
  • Experience with Airflow for workflow orchestration.
  • Strong understanding of cloud platforms such as Azure and/or AWS.
  • Experience with Docker and Kubernetes.
  • Experience with CI/CD practices and modern software delivery pipelines.
  • Understanding of MLOps, including deployment, monitoring, evaluation, and retraining.
  • Understanding of AI platform security, governance, scalability, and reliability.

Responsibilities

  • Design and develop scalable, production-ready Agentic AI and LLM-based applications.
  • Build effective RAG pipelines using embeddings and vector databases.
  • Design AI workflows and multi-agent solutions using modern AI frameworks.
  • Develop reliable AI and data pipelines using cloud platforms and data engineering technologies.
  • Work effectively with Python and SQL to build AI and data-driven solutions.
  • Deploy, monitor, evaluate, and continuously improve AI/ML models and applications.
  • Apply MLOps practices throughout the AI solution lifecycle.
  • Work with containerized workloads using Docker and Kubernetes.
  • Implement CI/CD practices for reliable and repeatable AI application delivery.
  • Identify and address security, governance, scalability, and reliability considerations in enterprise AI platforms.
  • Collaborate effectively with business stakeholders, data teams, software engineers, and other technical teams.
  • Translate complex business requirements into practical AI-driven solutions.
  • Work independently and take ownership of technical deliverables in a production-focused environment.

Skills

Python
SQL
LLMs
Agentic AI
RAG
Embeddings
Vector databases
LangChain
LlamaIndex
Azure OpenAI
Databricks
Apache Spark
Airflow
Azure/AWS cloud
Docker
Kubernetes
CI/CD
MLOps
Security, governance, reliability

Tools

Docker
Kubernetes
Airflow
CI/CD pipelines
LangChain
LlamaIndex

Job description

Stafide seeks a Senior Agentic AI Engineer to design, build, and deploy enterprise-grade AI solutions using LLMs, RAG, and multi-agent systems in Amsterdam. You will develop AI-powered automation, intelligent assistants, and data-driven decision platforms, applying LangChain, LlamaIndex, embeddings, and vector databases to deliver production-ready results.

You'll work across Azure and AWS, implement MLOps, ensure security and governance, collaborate with business and engineering teams, and

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