Generative AI Engineer

Role Overview: In today's market, there is a unique duality in technology adoption where clients are focusing on cost containment while also aiming to modernize their Digital storefronts. As a leading Modernization Engineering company, Sonata Software delivers modernization-driven hypergrowth for clients by leveraging deep differentiation in Modernization Engineering and utilizing tools like the Lightning suite and the 16-step Platform Formation playbook. Sonata Software brings agility and systems thinking to accelerate time to market for clients across various industries and regions. Key Responsibilities: - Design and develop AI solutions with at least 3 years of professional experience - Build AI Agents in real-time - Utilize strong programming skills in Python, TensorFlow, and PyTorch - Create robust AI pipelines for training, evaluation, and deployment using technologies like Retrieval Augmented Generation (RAG) and prompt engineering - Gain hands-on experience with tools such as AI Foundry, Fabric Data Agents, and Copilot studio - Work with Cloud & DevOps tools like Azure ML Studio, Docker, and CI/CD pipelines Qualifications Required: - 3+ years of professional experience in AI solution design and development - Proficiency in Python, TensorFlow, and PyTorch - Experience in building AI Agents in real-time - Familiarity with technologies like Retrieval Augmented Generation (RAG) and prompt engineering - Hands-on experience with Cloud & DevOps tools such as Azure ML Studio, Docker, and CI/CD pipelines (Note: Additional details about the company were not provided in the job description),