NTT DATA Services is seeking a skilled Python Full Stack Developer to join our dynamic AI Automation Team. This role involves crafting and deploying scalable, full-stack applications enriched with AI-driven features and intelligent automation.

We are looking for a collaborative individual who can work effectively with QA, Automation, Product, and AI Engineering teams to develop cutting-edge AI-enabled platforms and automation solutions for enterprise-level applications.

The ideal candidate will possess strong backend and frontend development expertise, coupled with practical experience in implementing AI solutions.

Key responsibilities include designing, developing, and maintaining scalable full-stack applications using Python. You will integrate AI-powered features and automation into enterprise applications, working closely with AI Engineers, QA teams, and Product Owners.

Build robust RESTful APIs, backend services, and intuitive frontend interfaces. Participate actively in solution design and architecture reviews, ensuring the implementation of secure, high-performance, and reusable code.

Engage in AI integration use cases such as intelligent automation, chatbots, recommendation engines, predictive analytics, or GenAI solutions. Conduct unit testing, debugging, optimization, and provide production support. Contribute to CI/CD pipelines and cloud-based application delivery.

We require a minimum of 5 years of hands-on experience in Python Full Stack Development, with strong proficiency in Python frameworks like Flask, FastAPI, or Django. Experience with frontend technologies including React.js, Angular, JavaScript, HTML5, and CSS3 is essential.

Demonstrated experience in at least one AI implementation project and integrating AI solutions into enterprise applications is crucial. A solid understanding of REST APIs, microservices architecture, and backend integrations is expected. Familiarity with databases such as PostgreSQL, MySQL, or MongoDB, along with Git, CI/CD, and DevOps practices, is required.

Knowledge of cloud platforms like Azure, AWS, or GCP, coupled with strong problem-solving, analytical, and communication skills, are key qualifications for this role.