Lead the design and delivery of AI-powered applications using .NET, Azure AI Services, and Azure OpenAI, leveraging Retrieval-Augmented Generation (RAG) and Semantic Kernel for agentic orchestration. Own end-to-end solution quality (performance, security, reliability) and mentor engineers across teams.

About the role:
In this prospect as a Senior Software Engineer AI, you will:
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
Develop agentic workflows with tool/function calling, planning, memory, and secure execution boundaries
Build and manage Semantic Kernel plugins/skills, including planners, connectors, and memory stores
Implement observability for AI systems (cost, latency, token usage, quality metrics) using App Insights/OpenTelemetry
Ensure end-to-end solution quality: performance, security, reliability, and scalability
Collaborate with product, security, and data teams to align with compliance and business goals




Drive architecture best practices and engineering excellence across projects
Mentor engineers, lead design reviews, and author technical RFCs

About you:
You're a fit for the role of Senior Software Engineer AI if your background includes:
6+ Years of Experience with .NET technologies
C#/.NET & ASP.NET Core: Advanced async, streaming, DI, clean architecture, performance tuning; REST APIs, authentication (OAuth2/OIDC/JWT), caching, resiliency
Azure AI & OpenAI: GPT models, embeddings, function calling, streaming responses, cost optimisation
Azure AI Search & Studio: Indexing, hybrid search (BM25 + vectors), skillsets, enrichers, re-ranking; prompt flows and evaluation pipelines
RAG & Agentic AI: Chunking, metadata enrichment, hybrid retrieval, citation fidelity; multi-tool orchestration, planners, memory, guardrails
Semantic Kernel (C#): Kernels, semantic/native skills, connectors, planner

📌 Senior Software Engineer Hyderabad
🏢 Thomson Reuters
📍 Hyderabad