Senior Software Engineer I - .NET, API, Azure AI

6 - 8 years

16 - 20 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About the Role:
  • Architect and build .NET services and APIs integrating Azure OpenAI and Azure AI Services .
  • Design and implement RAG pipelines using Azure AI Search for hybrid retrieval and grounding.
  • Build agentic workflows with tool/function calling, planning, memory, and safe execution boundaries.
  • Develop Semantic Kernel plugins/skills; configure planners, connectors, and memory stores.
  • Implement observability for AI systems (cost, latency, token usage, quality metrics; App Insights/OpenTelemetry).
  • Partner with product, security, and data teams to align solutions with compliance and business outcomes.
  • Mentor engineers; lead design reviews, write RFCs, and drive engineering excellence.

About You:
  • 6 to 8 years of work experience into described technologies
  • C#/.NET 7/8 : Advanced async, streaming, DI, clean architecture, performance tuning.
  • ASP.NET Core : REST APIs, authentication/authorization (OAuth2/OIDC/JWT), caching, resiliency.
  • Azure AI Services :
    • Azure OpenAI : GPT models, embeddings, function calling, streaming responses, cost optimization.
    • Azure AI Search : Indexing, hybrid search (BM25 + vectors), skillsets, enrichers, re-ranking.
    • Azure AI Studio : Prompt flow orchestration, evaluation pipelines.
  • RAG : Chunking strategies, metadata enrichment, hybrid retrieval, citation fidelity.
  • Agentic AI : Multi-tool orchestration, planners, memory, error recovery, guardrails.
  • Semantic Kernel (C#) : Kernels, semantic/native skills, connectors, planners, memory stores.
  • Azure Infrastructure : App Service, Functions, AKS, Container Apps, API Management, Key Vault.
  • Security Compliance : PII handling, data residency, auditability, threat modeling basics.
  • Testing Quality : Unit/integration/contract tests, load tests, CI/CD (Azure DevOps/GitHub).
  • Azure Cognitive Services : Document Intelligence, Speech, Vision for multimodal AI.
  • Azure AI Search advanced : Custom scoring profiles, multi-source ingestion (SharePoint, Blob).
  • Observability for AI quality : hallucination detection, RAG evaluation (RAGAS/rubrics).
  • Front-end integration : Blazor/React for streaming UX.
  • Knowledge graphs : Neo4j/RDF for advanced retrieval.

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