Generative AI Expert

Key Responsibilities :

• Design Development : Lead the design, development, and optimization of LLM-based chatbots and AI agents.
• LangChain Implementation : Implement LangChain to build scalable and efficient AI-driven applications.
• RAG Pipeline Integration : Develop and integrate Retrieval-Augmented Generation (RAG) pipelines to enhance knowledge retrieval for chatbots.
• VectorDB Usage : Leverage VectorDB to enable efficient similarity search and retrieval of relevant data.
• AI Inference with Groq : Utilize Groq for AI inference and acceleration, ensuring optimal performance and scalability.
• LLM Fine-Tuning : Fine-tune and optimize large language models (LLMs) like GPT-4 , LLama , Mistral , or Falcon to meet specific business use cases.
• Cross-Functional Collaboration : Work closely with product managers, data scientists, and engineers to integrate AI models into applications.
• Scalability Performance : Ensure AI solutions are scalable, secure, and performant in real-world environments.
• Continuous Learning : Stay abreast of advancements in AI, NLP, and machine learning to incorporate the latest technologies.

Required Skills Qualifications :

• Proven experience in developing LLM-based chatbots and AI agents.
• Expertise in LangChain , RAG , and VectorDB technologies.
• Hands-on experience with Groq and AI acceleration techniques.
• Strong proficiency in Python and Node.js for AI/ML development.
• Experience with fine-tuning LLMs like LLama , GPT-4 , Mistral , or Falcon .
• Solid understanding of machine learning, deep learning, and Natural Language Processing (NLP) techniques.

Preferred Qualifications :

• Experience with OpenAI , Hugging Face , and Anthropic APIs .
• Knowledge of prompt engineering and reinforcement learning from human feedback (RLHF) .
• Prior experience in developing multimodal AI solutions (e.g., text, image, video, speech models).