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Join NTT DATA as a Generative AI Engineer, where you will design, build, and deploy advanced agentic applications. This role requires proficiency in Python, experience with cloud platforms like Azure and AWS, and a deep understanding of Large Language Models. You will collaborate with cross-functional teams and stay at the forefront of Generative AI research.
Job Responsibility:
Design and implement autonomous agents and multi agent systems that can reason, plan, and execute complex tasks
Create robust tools and interfaces that allow agents to interact effectively with external APIs, databases, and software environments
Architect scalable and reliable multi-agent systems, ensuring efficient communication and coordination between agents
Develop, test, and optimize advanced prompts to guide LLM behavior, ensuring high accuracy and reliability in agent outputs
Deploy, monitor, and maintain AI and agentic applications on cloud platforms (Azure/AWS), focusing on scalability, latency, and cost-optimization
Work closely with cross-functional teams to integrate agentic solutions into broader product ecosystems
Stay at the forefront of Generative AI research, experimenting with new frameworks and techniques to drive continuous improvement
Requirements:
Programming: Proficiency in Python is essential. Experience with asynchronous programming and API development (FastAPI/Flask)
Generative AI & LLMs: Deep understanding of Large Language Models (LLMs), their capabilities, limitations, and tuning techniques (RAG, fine-tuning)
Agent Frameworks: Hands-on experience with modern agent frameworks
Strong experience with Azure / AWS / GCP ecosystems
Deployment: Expertise in deploying AI applications using containerization (Docker, Kubernetes) and serverless technologies (Azure Functions, AWS Lambda, GCP Cloud Run)
MLOps/LLMOps: Familiarity with pipelines for evaluating, monitoring, and managing the lifecycle of LLM-based applications