Requirements

• 8+ years of Software, Data, or AI Engineering experience.
• Senior Agentic AI Engineer responsible for designing, building, and deploying enterprise AI solutions using LLMs, RAG, and multi-agent systems.
• Develop AI-powered automation, intelligent assistants, and data-driven decision platforms, with a focus on scalability, security, and production readiness.
• 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 Azure/AWS.
• 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.
• 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 (Azure/AWS).
• Experience with Docker, Kubernetes, and CI/CD.
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