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Tier-1 brand plus metro Bengaluru raise competition, tempered by seniority and specialized AI-architecture requirements.
Enterprise SaaS, distributed systems and AI-first architecture require specialized domain experience, limiting cross-industry fit.
Explicit 10+ years, principal level, multi-language and AI/architecture mandates make filters highly stringent.
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Lead architectural design and technical implementation of critical, large-scale AI-integrated systems to ensure robustness, efficiency, and innovation.
Build and ship high-quality production-grade software using AI-driven development workflows and drive technical excellence across code quality, security, and performance.
Mentor team members and collaborate cross-functionally to align technical strategy with business outcomes and maintain shared system context documentation for AI operations.
10+ years of experience in full-stack software development and large-scale system architecture.
Proficiency in multiple programming languages such as Java, Python, C++, Go, Node.js, Scala, or C#.
Experience with AI tools (e.g., Claude Code, GitHub Copilot) and advanced prompt engineering for reliable AI outputs.
Degree or equivalent relevant experience required.
Deep expertise in designing and scaling distributed, full-stack enterprise systems, especially SaaS on public cloud infrastructure (AWS/Azure/GCP).
Strong AI-first engineering mindset using AI tools to enhance development speed and quality across the stack.
Leadership experience in technical architecture, code quality standards, and mentoring in complex, agile software environments.