Key Responsibilities:

- Design, develop, and optimize LLM-based chatbots and AI agents .
- Implement LangChain to create scalable and efficient AI-driven applications.
- Develop and integrate RAG pipelines to enhance chatbot knowledge retrieval.
- Work with VectorDB for efficient 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) .

Skills: Machine Learning, Deep Learning, Social Networking, Programming, Python

Experience: 3.00-4.00 Years

📌 Generative AI Expert (Chandigarh)
🏢 Cogniter Technologies
📍 Chandigarh