Generative AI Engineer

Role & responsibilities

• Python, Langchain, LlamaIndex,MCP Framework,NLP
• GCP or AWS Or Azure cloud
• Design, develop, and implement generative AI models using techniques like transformers, GANs, and VAEs.This includes using frameworks like Langchain.
• Manage and process large datasets, including preprocessing and augmentation, to train and improve models.
• Deploy models into production environments, optimize performance through techniques like hyperparameter tuning, and ensure scalability and efficiency.
• Design and implement the architecture for AI systems, ensuring they are scalable, reliable, and efficient.
• Work with data scientists, software engineers, and business stakeholders to define project goals and integrate AI solutions into existing workflows.
• Create and maintain clear documentation for AI models and processes.