Senior Agentic AI Engineer (ID: 4120)

As a Senior Agentic AI Engineer, you will • Design, develop, and deploy enterprise-grade AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and multi-agent systems. • Build intelligent AI applications, automation workflows, virtual assistants, and data-driven decision-support solutions. • Develop and optimize AI workflows using frameworks such as LangChain, LlamaIndex, Azure OpenAI, or similar technologies. • Implement embedding strategies and integrate vector databases to enable efficient semantic search and knowledge retrieval. • Design, build, and maintain scalable AI and data pipelines on cloud platforms such as Microsoft Azure and AWS. • Implement MLOps practices for model deployment, monitoring, evaluation, performance optimization, and retraining. • Collaborate with business stakeholders, data engineers, software engineers, and other technical teams to deliver AI-driven solutions. What You Bring to the Table • 8–10 years of overall experience in Software Engineering, Data Engineering, AI Engineering, or related technical fields. • Strong programming skills in Python and SQL. • Hands-on experience developing LLM-based applications and Agentic AI solutions. • Practical experience with RAG architectures, embeddings, vector databases, and multi-agent systems. • Experience with LangChain, LlamaIndex, Azure OpenAI, or equivalent AI frameworks and services. • Knowledge of Databricks, Apache Spark, and Apache Airflow for data processing and orchestration. • Experience working with cloud platforms, particularly Microsoft Azure and/or AWS. • Familiarity with MLOps practices, model lifecycle management, and production AI deployments. • Experience with Docker, Kubernetes, and CI/CD pipelines. • Understanding of AI security, governance, monitoring, and enterprise-level deployment requirements. You should possess the ability to • Design and implement scalable, reliable, and maintainable Agentic AI solutions. • Develop and optimize LLM workflows to improve response quality, accuracy, and performance. • Integrate enterprise data sources with AI applications using RAG, embeddings, and vector search. • Build and manage AI and data pipelines across cloud environments. • Evaluate AI models and workflows, identify performance issues, and implement improvements. • Deploy, monitor, troubleshoot, and maintain AI applications in production environments. • Apply containerization, orchestration, and CI/CD practices to streamline AI solution delivery. • Work effectively with cross-functional teams and translate business requirements into technical solutions. What We Bring to the Table • The opportunity to work on enterprise-scale Generative AI and Agentic AI solutions. • Exposure to modern AI technologies, LLMs, RAG architectures, and multi-agent systems. • The opportunity to develop scalable, cloud-based AI applications and intelligent automation solutions. • A collaborative, Agile working environment focused on innovation and production-ready AI engineering 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 Email : asha.k@stafide.nl LinkedIn : https://www.linkedin.com/in/ashakrishnan07/