Key Responsibilities

- Design and implement single-agent and multi-agent architectures, including routing, tool calling, memory, and state management.
- Build rapid prototypes and transform them into secure, reliable, production-ready applications.
- Develop enterprise integrations using APIs, data sources, connectors, and Azure Functions.
- Build end-to-end AI experiences for Microsoft Teams and web applications.
- Develop evaluation frameworks for quality, regressions, safety, prompt testing, and tool testing.
- Build Agentic AI applications that can plan, act, and execute business workflows.
- Implement RAG and enterprise grounding using Azure AI Search and Microsoft data sources.
- Develop Copilots/Agents using Copilot Studio and pro-code Microsoft AI frameworks.
- Implement observability using tracing, metrics, telemetry, and operational monitoring.




- Ensure production readiness through testing, CI/CD, security, and incident management practices.

Must-Have Skills

Solid C#/.NET and/or Python development
API-first & cloud-native architecture
Azure OpenAI & Azure AI application development
Tool / Function Calling
Agentic AI & Multi-Agent Orchestration
Microsoft Agent Framework / Semantic Kernel
Semantic Kernel / AutoGen patterns
Azure AI Search
Azure Functions
Cosmos DB / Azure SQL
Microsoft Fabric
Copilot Studio Agents, Connectors, Plugins & Actions
CI/CD, Testing & Production Monitoring
Secure-by-design architecture
Entra ID, Identity, Secrets & Least-Privilege Access

📌 Dot Net Full Stack Development Agentic AI (India)
🏢 Cerebra
📍 India