Key Skills

Job Description

Detailed JD with complete details in the Job Description Must have skills Role SummaryWe are looking for a Senior Agentic AI Engineer to design, build, and deploy enterprise AI solutions using LLMs, RAG, and multi-agent systems. You will work on AI-powered automation, intelligent assistants, and data-driven decision platforms, ensuring scalability, security, and production readiness.Key Responsibilities Develop Agentic AI applications using LLMs, RAG, embeddings, and vector databases. Build and optimize AI workflows using LangChain, LlamaIndex, and cloud AI services. Design scalable AI and data pipelines on AzureAWS. Implement MLOps practices including model deployment, monitoring, evaluation, and retraining. Collaborate with business and engineering teams to deliver AI-driven solutions. Ensure security, governance, and reliability of AI platforms. Required Skills Software, Data, or AI Engineering experience. Strong Python and SQL programming skills. Hands-on experience with LLMs, Agentic AI, RAG, embeddings, and vector databases. Experience with LangChain, LlamaIndex, Azure OpenAI, or similar AI frameworks. Knowledge of Databricks, Spark, Airflow, and cloud platforms (AzureAWS). Experience with Docker, Kubernetes and CICD.2

Core Responsibilities

Design, build, and deploy enterprise AI solutions, including agentic applications, intelligent assistants, and multi-agent systems using LLMs, RAG, embeddings, and vector databases. Develop scalable AI and data pipelines, implement MLOps, and ensure AI platforms are secure, governed, reliable, and production-ready.

Requirements

Requires software, data, or AI engineering experience, strong Python and SQL skills, and hands-on experience with LLMs, agentic AI, RAG, embeddings, and vector databases. Candidates should also have experience with AI frameworks and cloud services, data tools such as Databricks, Spark, and Airflow, and containerization and CI/CD technologies.