Skip to content
AI Engineer Jobs

Agentic AI Engineer (ID:4001)

STAFIDE

Location
Onsite (Amsterdam, North Holland)
Employment
Full-time
Level
Senior Level
Posted 2 weeks ago

About the role

STAFIDE is recruiting a Senior Agentic AI Engineer to design and deploy enterprise-grade AI solutions using LLMs, RAG, and multi-agent systems. The role involves building scalable data pipelines and ensuring production-ready governance for intelligent automation platforms.

Skills

Python SQL LLMs Agentic AI RAG Embeddings Vector databases LangChain LlamaIndex Azure AWS Databricks Apache Spark Airflow Docker Kubernetes

Full job details

As a Senior Agentic AI Engineer, you will:
  • Design, build, and deploy enterprise-grade Agentic AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent systems.
  • Develop AI-powered automation, intelligent assistants, and data-driven decision platforms.
  • Build Agentic AI applications using LLMs, RAG, embeddings, and vector databases.
  • Design and optimize AI workflows using LangChain, LlamaIndex, and cloud AI services.
  • Design and implement scalable AI and data pipelines across Azure and AWS environments.
  • Implement MLOps practices covering model deployment, monitoring, evaluation, and retraining.
  • Ensure AI solutions are scalable, secure, reliable, governed, and production-ready.
  • Collaborate with business and engineering teams to translate requirements into AI-driven solutions.
  • Contribute to the continuous improvement of AI platforms, workflows, and engineering practices.
What You Bring to the Table:
  • 8+ years of overall professional experience in Software Engineering, Data Engineering, or AI Engineering.
  • Strong hands-on programming experience with Python and SQL.
  • Proven 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 AI services.
  • Knowledge of Databricks and Apache Spark.
  • Experience with Airflow for workflow and pipeline orchestration.
  • Strong understanding of cloud platforms such as Microsoft Azure and/or AWS.
  • Experience with Docker and Kubernetes.
  • Experience with CI/CD practices and modern software delivery pipelines.
  • Understanding of MLOps, including model deployment, monitoring, evaluation, and retraining.
  • Understanding of AI platform security, governance, scalability, and reliability.
You should possess the ability to:
  • 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.
What we bring to the table:
  • The opportunity to work on enterprise Agentic AI and Generative AI initiatives.
  • Exposure to cutting-edge technologies including LLMs, RAG, multi-agent systems, embeddings, and vector databases.
  • Opportunities to work with LangChain, LlamaIndex, Azure OpenAI, Databricks, Spark, and Airflow.
  • Experience across Azure and AWS cloud environments.
  • Exposure to modern MLOps, Docker, Kubernetes, and CI/CD practices.
  • Opportunities to build scalable, secure, and production-ready AI platforms and solutions.
  • Collaboration with business and engineering teams on AI-powered automation and intelligent decision platforms.
Let’s Connect

Want to discuss this opportunity in more detail? Feel free to reach out.

Recruiter: Asha Krishnan
Phone: +31 20 369 0609 ; Extn :146