Full Stack Developer (AI-Enabled Applications) (India)

Full Stack Developer (AI-Enabled Applications) Summary We are seeking a seasoned Full Stack Developer with specialized expertise in artificial intelligence to design, build, and maintain robust AI-driven applications. In this pivotal role, you will leverage advanced machine learning models and cloud-native architectures to deliver scalable solutions that integrate seamlessly with existing enterprise systems. The ideal candidate will bridge the gap between traditional web development and cutting-edge generative AI technologies, ensuring that all applications are secure, efficient, and aligned with responsible AI principles. This position is critical for driving innovation in our IT services sector, requiring a deep understanding of both front-end user experiences and back-end AI orchestration. Responsibilities - Architect and develop scalable full-stack applications utilizing Type Script, Java Script, and contemporary HTML/CSS frameworks. - Implement advanced AI capabilities by integrating Large Language Models (LLMs) and Generative AI tools into core business workflows. - Design and manage Retrieval-Augmented Generation (RAG) pipelines to enhance application intelligence and data retrieval accuracy. - Engineer secure cloud infrastructure using AWS or Azure, focusing on cloud-native patterns and microservices architecture. - Automate deployment and configuration processes through Terraform (HCL) and Shell scripting to ensure reliable and repeatable environments. - Develop and maintain RESTful APIs and microservices to facilitate seamless communication between AI components and client applications. - Embed security and data privacy protocols directly into the AI development lifecycle to uphold responsible AI standards. - Utilize Python to build automation scripts, integrate AI models, and manage API interactions for enhanced system performance. Requirements Requirements: - Experience: A proven track record of 6 to 9 years in software development, specifically within the IT Services industry. - Core Languages: Proficiency in Type Script, Java Script, HTML/CSS, and Python for full-stack and AI integration tasks. - AI & Machine Learning: Hands-on experience with Generative AI, LLMs, Prompt Engineering, and AI Orchestration frameworks. - Cloud & Dev Ops: Strong background in AWS or Azure cloud platforms, including expertise in Terraform (HCL) and Shell scripting for infrastructure as code. - Architecture: Demonstrated ability to design and implement microservices, REST APIs, and cloud-native architectures. - Security & Compliance: Knowledge of Responsible AI practices, data privacy regulations, and security best practices for AI applications.