Join NTT DATA Services and contribute to our AI Automation Team as a Python Full Stack Developer. This role involves crafting robust, scalable full stack applications infused with AI capabilities. You'll be instrumental in developing intelligent automation solutions for enterprise-level platforms, collaborating closely with cross-functional teams to drive innovation. This is an opportunity to shape the future of AI-enabled applications.

Key duties include designing and maintaining advanced full stack applications utilizing Python. You will integrate AI-powered features and automation into enterprise systems. Collaboration with AI Engineers, QA, Product Owners, and Architects is essential for understanding business needs and delivering impactful technical solutions.

Responsibilities also encompass building RESTful APIs, backend services, and frontend interfaces for AI-driven platforms. You will actively participate in solution design, technical discussions, and architecture reviews. Ensuring the implementation of secure, high-performance, and reusable code following best practices is paramount.

This role involves working on diverse AI integration use cases such as intelligent automation, chatbots, recommendation engines, predictive analytics, and GenAI solutions. Unit testing, debugging, optimization, and production support are integral parts of the job. You will also contribute to CI/CD pipelines, deployment automation, and cloud-based delivery, ensuring the scalability, maintainability, and performance of applications.

A minimum of 5 years of progressive experience in Python Full Stack Development is required. Deep expertise in Python frameworks like Flask, FastAPI, or Django is essential. Proficiency in frontend technologies including React.js, Angular, JavaScript, HTML5, and CSS3 is a must.

Demonstrated hands-on experience in at least one AI implementation project and integrating AI solutions within enterprise applications is crucial. A strong understanding of REST APIs, microservices architecture, and backend integrations is expected. Familiarity with databases such as PostgreSQL, MySQL, MongoDB, or similar technologies is required.

Experience with Git, CI/CD pipelines, and DevOps practices is necessary. Understanding of cloud platforms like Azure, AWS, or GCP is also a requirement. Excellent problem-solving, analytical, and communication skills are vital for success in this role.