Join NTT DATA's innovative AI Automation Team as a Senior Specialist Advisor, an AI Development Engineer. This role is pivotal in designing, developing, and deploying cutting-edge, scalable full-stack applications deeply integrated with AI-driven solutions.

We are seeking a talented individual with extensive backend and frontend development experience, coupled with practical exposure to AI implementation and intelligent automation. You will collaborate closely with QA, Automation, Product, and AI Engineering teams to build transformative AI-enabled platforms and automation solutions for enterprise-level applications, driving the future of digital transformation.

Architect, build, and maintain robust, scalable full-stack applications using Python technologies. Integrate sophisticated AI-powered features and advanced automation capabilities into enterprise applications. Collaborate effectively with AI Engineers, QA, Product Owners, and Architects to translate complex business problems into innovative technical solutions. Develop and manage high-performance RESTful APIs, backend services, and user-friendly frontend interfaces for AI-centric platforms. Actively participate in solution design, technical strategy discussions, and architecture reviews. Implement secure, efficient, and reusable code adhering to industry-leading engineering standards. Engage in AI integration use cases, including intelligent automation, chatbot development, recommendation engines, predictive analytics, and GenAI applications. Conduct thorough unit testing, debugging, performance optimization, and provide essential production support. Contribute to the enhancement of CI/CD pipelines, automation of deployments, and cloud-native application delivery. Ensure the scalability, maintainability, and optimal performance of all developed applications.

A minimum of 5 years of professional experience in Python Full Stack Development is essential. Demonstrated expertise in Python frameworks such as Flask, FastAPI, or Django. Proficiency in frontend technologies including React.js, Angular, JavaScript, HTML5, and CSS3. Proven hands-on experience with at least one AI implementation project and integrating AI solutions within enterprise environments. Solid understanding of REST APIs, microservices architecture, and backend integration strategies. Experience working with databases like PostgreSQL, MySQL, MongoDB, or similar. Familiarity with version control using Git, CI/CD pipelines, and core DevOps practices. Understanding of major cloud platforms such as Azure, AWS, or GCP. Excellent problem-solving, analytical thinking, and clear communication skills are required.