
Generative AI Expert
7 days ago
Job Description
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).
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