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 create 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: Work with VectorDB to facilitate efficient similarity search and retrieval of relevant data.
• AI Inference with Groq: Utilize Groq for AI inference and acceleration, ensuring high-performance and scalability.
• LLM Fine-Tuning: Fine-tune and optimize large language models (LLMs) like GPT-4, LLama, Mistral, or Falcon to cater to specific business use cases.
• Cross-Functional Collaboration: Collaborate with product managers, data scientists, and engineers to integrate AI models into applications.
• Scalability Performance: Ensure AI-powered solutions are scalable, secure, and performant in real-world environments.
• Continuous Learning: Stay updated with the latest advancements in AI, NLP, and machine learning to ensure the use of state-of-the-art 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 such as LLama, GPT-4, Mistral, or Falcon.
• Solid understanding of machine learning, deep learning, and NLP techniques.

Preferred Qualifications:

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