Senior AI Engineer

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Requirements:

• 3-5 years of experience in AI development, focusing on building and deploying LLMs and conversational AI systems.
• Experience with designing and implementing RAG pipelines using LangChain or equivalent technologies.
• Experience with vector databases such as FAISS, Pinecone, Weaviate, or ChromaDB.
• Proficiency in Python and frameworks like LangChain and Hugging Face Transformers.
• Strong understanding of embedding models and retrieval algorithms.
• Background in data engineering and cloud platforms like AWS or GCP.
• Exceptional problem-solving skills.

Responsibilities:

• Lead the design, development, and deployment of LLM-powered chatbots and intelligent automation tools.
• Train and fine-tune large language models for specific business needs.
• Establish infrastructure and tools for scalable AI development.
• Collaborate closely with product, engineering, and data science teams.
• Rapidly prototype and iterate on AI-driven features.
• Stay up-to-date with advancements in NLP and AI technologies.
• Provide technical leadership in AI.