Back
High competition due to Tier-1 brand, metro Bangalore, popular fullstack title, mid-level seniority, and broad AI/full-stack requirements.
Medium: core full-stack and AI skills transfer across industries, but enterprise AI/product experience is preferred.
High strictness: explicit 6+ years, mandatory production full-stack and AI integration experience.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, deploy, and maintain full-stack AI/ML applications including services, APIs, and user interfaces integrating AI capabilities into core business workflows.
Provide hands-on technical leadership for full-stack engineering initiatives, contributing to architecture, design, coding, testing, deployment, and operational readiness for production-grade AI applications.
Collaborate cross-functionally with AI/ML Engineers, Data Scientists, product and platform teams to deliver scalable, secure, reliable AI-powered solutions aligned with enterprise standards.
Bachelor's degree or equivalent experience.
6+ years of hands-on software engineering experience including building and operating production applications.
Strong experience with full-stack development, including backend, frontend, APIs, and data-driven workflows; Python strongly preferred.
Experience building AI/ML integrated applications, including working knowledge of AI model APIs, LLMs, or agentic systems.
Experienced in architecting and delivering scalable, maintainable AI-powered full-stack applications within enterprise environments.
Comfortable leading technical engineering practices and mentoring peers to raise team capability and code quality.
Able to translate complex AI business needs into practical technical solutions and effectively collaborate with diverse cross-functional teams.