About the Role
Key Responsibilities:
- Assist in the development, testing, and deployment of AI chatbots using local and cloud-based LLMs.
- Support in building RAG (Retrieval-Augmented Generation) systems, including vector search and semantic retrieval.
- Work with Qdrant and embedding models to manage collections, vectors, and similarity search.
- Help develop FastAPI endpoints for AI services and WhatsApp/other messaging integrations.
- Participate in processing training data, embeddings, and conversation history pipelines.
- Implement and refine LLM-based intent detection, response ranking, and fallback systems.
- Collaborate on model optimization, prompt tuning, and improving response accuracy.
- Assist in deploying real-time AI systems for customer service automation.
- Contribute to knowledge base creation, FAQ structuring, and dynamic response generation.
- Write clean, maintainable, and well-documented code for AI mo...
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