AI Full Stack Developer (3,794 Openings Across India)

This Glassdoor search results page features 3,794 active AI full stack developer job openings across India, spanning sectors including SaaS, fintech, e-commerce, and enterprise tech. Roles range from mid-level individual contributor positions to senior lead and staff engineering roles, with flexible options for both remote and on-site work depending on the employer. Sample listed positions include the Wondrfly Inc. Full Stack Developer Lead role, which offers a monthly salary range of ₹1,00,000 to ₹1,50,000 and supports Easy Apply for streamlined submissions. Hiring employers include Azistinc, Wondrfly Inc., and a wide range of other Indian and global tech firms operating in the country. These roles focus on building, scaling, and maintaining end-to-end AI-powered applications, from designing intuitive frontend user experiences to integrating backend AI/ML models, APIs, and data pipelines. Employees in these positions collaborate closely with data scientists, product managers, UX designers, and DevOps teams to deliver high-performance, scalable AI solutions for business use cases. New job openings are added regularly, with roles available in major Indian tech hubs including Bangalore, Hyderabad, Pune, Chennai, and Delhi NCR, as well as fully remote positions open to qualified candidates across the country.

• 3+ years of professional experience building full stack applications, with at least 1 year of experience integrating AI/ML models or LLM APIs into production products
• Proficiency in at least one frontend framework (React, Angular, Vue.js) and one backend technology stack (Node.js, Python/Django/Flask, Java Spring)
• Hands-on experience with cloud platforms (AWS, Azure, Google Cloud Platform) for deploying and scaling AI-powered applications
• Strong understanding of database systems (SQL and NoSQL) and experience building and maintaining data pipelines for AI workloads
• Familiarity with DevOps practices, CI/CD pipelines, and containerization tools (Docker, Kubernetes) is a strong plus
• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field, or equivalent demonstrable work experience
• Excellent problem-solving skills, with experience working in agile, cross-functional team environments
• Strong communication skills and ability to translate technical AI capabilities into user-friendly product features