Key Responsibilities :
- Design Development : Lead the design, development, and optimization of LLM-based chatbots and AI agents, driving innovation in AI-driven applications.
- LangChain Implementation : Implement LangChain to build scalable, efficient, and effective AI-driven applications and services.
- RAG Pipeline Integration : Develop and integrate Retrieval-Augmented Generation (RAG) pipelines to enhance data retrieval and improve the performance of chatbots.
- VectorDB Utilization : Use VectorDB for fast and efficient similarity search, ensuring relevant data retrieval to optimize AI responses.
- AI Inference with Groq : Leverage Groq for AI inference and acceleration, optimizing performance and scalability of AI models and systems.
- LLM Fine-Tuning : Fine-tune and customize large language models (such as GPT-4, LLama, Mistral, or Falcon) to align with business objectives and improve model outputs.
- Cross-Functional Collaboration : Collaborate closely with product managers, data scientists, and engineering teams to integrate AI models into diverse applications and platforms.
- Scalability Performance : Ensure that AI solutions are scalable, secure, and performant under real-world conditions.
- Continuous Learning : Stay up-to-date with the latest advancements in AI, NLP, machine learning, and deep learning, continuously integrating innovative techniques into our AI systems.
Required Skills Qualifications :
LLM-Based Chatbots : Proven experience in developing and deploying LLM-based chatbots and AI agents.LangChain, RAG, and VectorDB : Expertise in LangChain, RAG, and VectorDB technologies for building advanced AI-driven systems.Groq Experience : Hands-on experience using Groq for AI inference and acceleration, optimizing AI model performance.Programming Proficiency : Strong proficiency in Python and Node.js for AI and machine learning development.LLM Fine-Tuning : Experience with fine-tuning LLMs (e.g., GPT-4, LLama, Mistral, Falcon) to meet specific use cases and business needs.Machine Learning Expertise : Solid understanding of machine learning, deep learning, and NLP techniques.Preferred Qualifications :
API Experience : Experience with APIs from platforms like OpenAI, Hugging Face, and Anthropic.Prompt Engineering RLHF : Knowledge of prompt engineering and reinforcement learning from human feedback (RLHF).Multimodal AI Solutions : Experience in developing multimodal AI solutions, integrating text, image, video, or speech models.Skills Required
Deep Learning, Machine Learning, Social Networking, Php, Javascript, Design Development, Programming, Python, Seo