About this role
• Proven experience building RAG-based solutions using Azure, Databricks, and the OpenAI stack. • Strong understanding of LLMs, vector databases, and prompt engineering. • Proficiency in Python and relevant AI/ML libraries (e.g., LangChain, Transformers, PyTorch). • Experience with deploying and scaling AI models in cloud environments. • Familiarity with REST APIs, CI/CD pipelines, and secure system integration.
Business area - - Inventory Management - Pricing - Description match
Key Responsibilities: • Design and develop RAG-based conversational AI chatbots leveraging LLMs and NLP techniques. • Conduct regular testing, debugging, and performance tuning to ensure chatbot reliability and accuracy. • Integrate chatbot solutions with internal systems and enterprise applications. • Collaborate with cross-functional teams to align AI solutions with business goals. • Monitor and improve chatbot performance using analytics and user feedback.
Graduate