





Senior, niche AI principal role reduces applicant density despite Bangalore metro location.
Medium—AI engineering skills transferable, but principal-level LLM production and .NET stack require specific prior experience.
High—explicit 10+ years, required AI/LLM production experience, and specific tech stack.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead end-to-end delivery of complex AI-driven software projects including architecture, implementation, launch, and continuous improvement.
Design, build, and operate AI systems including LLMs, agentic AI architectures, MCP-style orchestration, and automate workflows with security and compliance adherence.
Own modernization of legacy systems to cloud-native microservices; provide technical leadership, mentor engineers, and influence architecture across teams.
10+ years professional software development experience with proven ownership of large, complex systems.
Expert-level proficiency in C# and .NET (including ASP.NET Core), microservices architecture, RESTful APIs, and cloud platforms (AWS and/or Azure).
Hands-on experience building and shipping AI-driven and agentic AI systems in production or similar environments.
Bachelor’s degree in computer science or equivalent practical experience.
Senior technologist with delivered success in AI-driven software and legacy system modernization under complex, scalable environments.
Effective technical leader able to independently lead projects, manage risks, and align cross-functional stakeholders while elevating team capability.
Experienced architect familiar with AI workflows, containerization (Docker/Kubernetes), and cloud-native service design driving production-grade solutions.