AI Architect

Requirements

Must have:

- At least 6-10 years of hands-on development and architectural experience. - Proficiency in Python, PyTorch, TensorFlow, or similar frameworks. - Experience with supervised, unsupervised, and reinforcement learning. - Solid grounding in Natural Language Processing (NLP) concepts such as tokenisation, embeddings, semantic search, text classification, and summarisation. - Strong understanding of Large Language Models (LLMs) and Generative AI (GAI). - Hands-on experience with LangGraph, LlamaIndex, OpenAI APIs, and Model Context Protocol (MCP). - Knowledge of statistics, probability, and model evaluation techniques. - Experience with Retrieval-Augmented Generation (RAG) and vector databases like Pinecone or Weaviate. - Proven track record of designing, developing, deploying, and managing AI/GenAI solutions in production. - Exposure to multimodal AI (text, vision, speech). - Data engineering and analysis skills including ETL pi...