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Generative AI Engineer
4 weeks ago
We are seeking a skilled developer with expertise in building Retrieval-Augmented Generation (RAG) based chatbots. The ideal candidate will design and implement a chatbot solution that integrates retrieval-based models with generative AI to provide accurate and context-aware responses.
Experience : 4-5 years
Key Responsibilities:
Develop and deploy a RAG-based chatbot solution tailored to specific use cases.
Integrate retrieval systems (e.g., vector databases) with large language models (LLMs).
Fine-tune and optimize LLMs for enhanced contextual understanding.
Implement robust data indexing, retrieval pipelines, and APIs for seamless chatbot performance.
Ensure the chatbot is scalable, secure, and user-friendly.
Qualifications:
Proficiency in programming languages like Python, with experience in frameworks like LangChain or Haystack.
Hands-on experience with LLMs (e.g., OpenAI, Hugging Face, etc.).
Strong understanding of retrieval systems and vector databases (e.g., Pinecone, Weaviate, or FAISS).
Experience deploying solutions on cloud platforms (AWS, Azure, or Google Cloud).
Familiarity with chatbot frameworks and APIs for integration.
Preferred:
Experience in building conversational AI solutions for specific industries or applications.
Knowledge of prompt engineering and fine-tuning LLMs.
