DontApply.Club
Login Register

Agentic AI Engineer

Us3 Consulting — Netherlands · Posted ~2 hours ago

Senior

Skills

Python SQL LLMs RAG embeddings vector databases LangChain LlamaIndex Azure AWS MLOps AI security AI governance

🔓 Log in to save this job, tailor your resume & track your apply process — 7 days free, no card needed.

Log in to add to target list

Summary ✨ AI‑Generated

Build and deploy enterprise-grade agentic AI applications powered by LLMs, retrieval-augmented generation, embeddings, and multi-agent systems. You will develop AI workflows with modern frameworks, create scalable pipelines across major cloud platforms, and apply MLOps for deployment, monitoring, evaluation, and continuous improvement. Strong security, governance, and reliability are central to the role.

Highlights

Design and deploy enterprise-grade agentic AI solutions using LLMs, RAG, embeddings, and multi-agent architectures. The role combines hands-on Python and SQL development with cloud platforms, MLOps, production monitoring, model evaluation, security, governance, and cross-functional delivery.

Description

Agentic AI Engineer We are seeking a Agentic AI Engineer to design, build and deploy enterprise-grade AI solutions powered by LLMs, RAG and multi-agent systems. You will help deliver AI-powered automation, intelligent assistants and data-driven platforms, with a focus on scalability, security and production readiness. What You’ll Do Design and develop Agentic AI applications using LLMs, RAG, embeddings and vector databases.Build and optimise AI workflows using frameworks such as LangChain and LlamaIndex.Develop scalable AI and data pipelines across Azure and/or AWS.Implement MLOps practices including deployment, monitoring, evaluation and model improvement.Collaborate with engineering and business teams to deliver production-ready AI solutions.Ensure strong security, governance and reliability across AI platforms. Essential Skills 8+ years of experience in Software Engineering, Data Engineering or AI Engineering.Strong hands-on programming experience with Python and SQL.Proven experience with LLMs, Agentic AI, RAG, embeddings and vector databases.Experience with LangChain, LlamaIndex, Azure OpenAI or similar AI frameworks.Experience with cloud platforms, ideally Azure and/or AWS.Knowledge of Databricks, Spark and Airflow.Experience with Docker, Kubernetes and CI/CD.Strong understanding of building scalable, secure, production-ready AI solutions. Preferred Skills Experience designing and deploying multi-agent AI systems.Strong MLOps experience, including model monitoring and evaluation.Experience working with enterprise AI governance and security frameworks.Experience delivering AI solutions in complex enterprise environments.Knowledge of modern data platforms and distributed data processing.