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Tier-1 brand, mid-level fullstack role, and Bangalore metro drive high applicant competition.
Full-stack engineering skills are transferable, though advanced AI/ML integration increases domain specificity.
Explicit 5+ years requirement plus strong full-stack and AI-integration skills makes screening moderately strict.
Lead design, development, deployment, and maintenance of full-stack AI/ML applications including application layers, services, APIs, and user experiences.
Provide hands-on technical leadership across Advanced AI initiatives, contributing to architecture, design, and establishing engineering best practices (testing, deployment, observability, documentation).
Ensure applications are secure, reliable, performant, maintainable, and aligned with enterprise standards; collaborate with AI/ML engineers and stakeholders to operationalize AI capabilities in production workflows.
Minimum 4-year degree or equivalent experience.
5+ years of hands-on software engineering experience building and operating production applications.
Strong full-stack engineering skills including backend services, APIs, frontend development; Python preferred, experience with TypeScript, JavaScript, Java, Kotlin, or Go is helpful.
Experience building and integrating AI/ML-powered applications or workflows, with strong system design and production deployment knowledge.
Experienced in full-stack application development with a focus on scalable, maintainable, and secure AI-powered systems in a production environment.
Ability to work cross-functionally with AI/ML engineers, data scientists, and product stakeholders translating complex AI capabilities into user-friendly applications.
Technical leadership skills including mentoring, strategic architecture contributions, and raising engineering standards within teams.