AI Principal SW Systems Engineer -AI Infra -Distributed Systems,Microservice, AI Infrastructure,Agentic systems

Overview

AI Principal Software Systems Engineer working on AI infrastructure, distributed systems, microservices, and agentic systems for intelligent networking.

What you'll do

• Define and drive an innovative technical vision across products and platforms.
• Design and launch capabilities spanning intelligent networking, distributed systems, real-time processing, and agentic AI.
• Lead the end-to-end software development lifecycle from architecture to production operations.
• Build scalable, production-ready services for next-generation real-time data and AI platforms.
• Lead technical discussions including design reviews, code reviews, and implementation.
• Design resilient, secure, observable, and scalable systems and improve engineering processes.
• Mentor and develop engineers and set technical direction.

What you'll need

• 10 to 16+ years of experience.
• 10+ years across the complete software development lifecycle, including production operations.
• 10+ years programming in at least one general-purpose language (preferably Python, Java, Go, or C++).
• 3+ years leading design and architecture of large-scale distributed systems (preferably on AWS, Azure, or Google Cloud).
• Experience with real-time microservices, stream processing, distributed data platforms, cloud infrastructure, AI/agentic systems, network telemetry, or large-scale analytics.
• Experience designing systems for high-volume, high-velocity data with scalability, availability, latency, and reliability requirements.
• Experience mentoring engineers or serving as a technical lead/engineering team leader.

Details

• Location: Bangalore or Remote.