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• Design, build, and fine‑tune Generative AI models (e.g., GPT, LLaMA, Stable Diffusion, etc.) for text, image, audio, or code generation.
• Implement prompt engineering, model tuning, and RAG (Retrieval‑Augmented Generation) capabilities.
• Develop scalable APIs and backend systems to integrate AI capabilities into production applications.
• Collaborate with cross‑functional teams to define AI use cases and deliver end‑to‑end AI‑powered features.
• Monitor and evaluate model performance, ensuring efficiency, reliability, and ethical AI practices.
• Stay current with advances in deep learning, transformer architectures, and AI safety research.
• Optimize model inference for cost and latency using techniques such as quantization.

• 3-5 years of experience in software development or applied machine ...