Lead .NET Software Engineer - AI integration & Enablement

10 - 18 years

22 - 27 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Architect and implement shared APIs, integration services, and frameworks (auth, telemetry) for Azure cloud-native apps.
  • Define API governance, versioning, and documentation standards for scalability.
  • Establish best practices for code quality, automated testing, CI/CD, and peer reviews.
  • Optimize shared services for security, performance, and scalability.
  • Evaluate emerging Azure-native capabilities to enhance shared services.
  • Collaborate with product/platform teams to integrate services into enterprise solutions
  • Manage ML model deployment and enterprise LLM components (APIs, RAG, vector DBs).
  • Build prompt libraries, templates, and guardrails; enforce security and compliance for AI endpoints. Partner with teams to design scalable AI workflows; create documentation and sample code. • Support LLM prompt standardization, adoption of agentic AI tools, and deliver training/workshops.

Skill and Experience:

  • ideally 10+ years in large-scale app development, 5+ years in end-to-end delivery, and 3+ years leading teams of 5+.
  • Proven ability to architect APIs, reusable components, and integration services for enterprise-scale Azure applications.
  • Deep expertise in microservices, event-driven architecture, and secure contract-first API design. • Strong leadership: drives technical reviews, influences cross-functional teams, and ensures delivery excellence with ownership and urgency
  • Skilled in estimating complex solutions, balancing technical depth with strategic priorities. Champions engineering best practices: code quality, automated testing, and CI/CD pipelines using Azure DevOps (Repos, Pipelines, PBIs).
  • Experience integrating Azure OpenAI/GPT APIs for advanced backend capabilities.

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