Key Responsibilities:
Design, develop, and optimize LLM-based chatbots and AI agents .
Implement LangChain to create scalable and productive AI-driven applications.
Develop and integrate RAG pipelines to enhance chatbot knowledge retrieval.
Work with VectorDB for productive similarity search and retrieval.
Utilize Groq for AI inference and acceleration.
Fine-tune and optimize LLMs for specific business use cases.
Collaborate with cross-functional teams to integrate AI models into applications.
Ensure scalability, security, and performance of AI-powered solutions.
Stay updated with the latest advancements in AI, NLP, and machine learning .
Proven experience in developing LLM-based chatbots and AI agents .
Solid expertise in LangChain, RAG,



and VectorDB .
Hands-on experience with Groq and AI acceleration techniques.
Proficiency in Python and Node.js for AI/ML development.
Experience in fine-tuning LLMs (e.g., LLama, GPT-4, Mistral, Falcon).
Knowledge of machine learning, deep learning, and NLP techniques .
Experience with Open AI, Hugging Face, and Anthropic APIs .
Knowledge of prompt engineering and reinforcement learning from human feedback (RLHF) .
Prior work in multimodal AI (text, image, video, speech models) .

📌 Generative Ai Expert Chandigarh (India)
🏢 Cogniter Technologies
📍 India