Key Responsibilities:

• Design, develop, and deploy conversational AI solutions leveraging LangGraph, RAG (Retrieval-Augmented Generation), and Vector Databases.
• Build and optimize Conversational BI (Business Intelligence) frameworks for data interaction and analysis.
• Implement scalable AI workflows and pipelines using Python and SQL.
• Utilize Azure OpenAI and AWS services to integrate AI capabilities with enterprise-grade cloud infrastructure.
• Collaborate with cross-functional teams to translate business needs into AI-driven products.
• Continuously improve system performance, scalability, and reliability of deployed AI solutions.

Required Skills & Qualifications:

• 6+ years of hands-on software development experience.
• Proficiency in Python and SQL for data manipulation and backend logic.
• Proven expertise with Azure OpenAI and AWS cloud services.
• Experience in building conversational AI apps using LangGraph and RAG methodologies.
• Familiarity with Vector Databases (e.g., FAISS, Pinecone, Weaviate) for semantic search and knowledge retrieval.
• Strong understanding of conversational design patterns and data visualization in BI systems.

Preferred Qualifications:

• Background in data engineering, NLP, or machine learning.
• Experience integrating AI solutions into enterprise systems or BI tools like Power BI/Tableau.
• Knowledge of CI/CD practices and DevOps tools in cloud environment