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
