.NET Azure Consultant

Cerebra; India; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Cerebra is seeking engineers to build agentic, production-grade AI applications that go from idea to working solutions in hours. You will ship multi-agent workflows, secure enterprise integrations, and real user-facing copilots on Microsoft’s AI platform.

Role emphasizes rapid prototyping, production hardening, and enterprise integrations, with a focus on observability, testing, and secure-by-design patterns across Azure OpenAI, Semantic Kernel, and Copilot Studio.

Qualifications

• Must have strong software engineering in C#/.NET and/or Python API-first cloud-native patterns.
• Experience with Azure OpenAI and Azure AI app development and tool/function calling patterns.
• Experience building agentic systems using Microsoft Agent Framework or Semantic Kernel agent framework.
• Production mindset with testing, CI/CD, telemetry, and incident readiness.
• Experience with Azure OpenAI, Azure AI Search, Cosmos DB / Azure SQL, Microsoft Fabric.
• Familiarity with Copilot Studio and agents/connections/plugins.

Responsibilities

• Design and implement agent and workflow architectures (single/multi-agent, routing, tool calling, memory/state).
• Build rapid prototypes and harden to production (security, reliability, monitoring, cost).
• Implement enterprise integrations (APIs, data sources, connectors, functions) and ship end-to-end experiences (Teams/web).
• Create and maintain evaluation harnesses (quality, regressions, safety, prompt/tool tests).
• Develop with modern AI-assisted engineering workflows (agentic coding, PR automation, tests).
• Develop agentic AI applications: tool-using agents that plan, act, and complete workflows.
• Work on RAG + enterprise grounding using Azure OpenAI / Microsoft data sources (SharePoint/Fabric/etc.).
• Copilots/Agents via Copilot Studio (low code) and/or pro-code stacks (Foundry + SDKs).
• Focus on Observability + evaluation: tracing, metrics, and safe operations for agents.

Skills

API-first design

Cloud-native patterns

Azure OpenAI

Agent frameworks

Semantic Kernel

Production mindset

CI/CD

Telemetry

Security best practices

Tools

Azure Functions

Cosmos DB

Azure SQL

Fabric

SharePoint

Entra

GitHub Copilot Agent Mode

Job description

Job Description

We're building agentic, production-grade AI apps that go from idea to working solution in hours, not weeks. You ll ship multi-agent workflows, secure enterprise integrations, and real user-facing copilots on Microsoft s AI platform. AI Powered Tech Talent

Roles & Responsibilities

• Design and implement agent + workflow architectures (single/multi-agent, routing, tool calling, memory/state).
• Build rapid prototypes, then harden to production (security, reliability, monitoring, cost).
• Implement enterprise integrations (APIs, data sources, connectors, functions) and ship end-to-end experiences (Teams/web).
• Create and maintain evaluation harnesses (quality, regressions, safety, prompt/tool tests).
• Build with modern AI-assisted engineering workflows (agentic coding, PR automation, tests).
• Agentic AI applications: tool-using agents that plan, act, and complete workflows (not just chat).
• RAG + enterprise grounding using Azure AI Search / Microsoft data sources (SharePoint/Fabric/etc. depending on scenario).
• Copilots/Agents via Copilot Studio (low code) and/or pro-code stacks (Foundry + SDKs).
• Observability + evaluation: tracing, metrics, and safe operations for agents.

Professional & Technical Skills

Must To Have Skills

• Strong software engineering in C#/.NET and/or Python API-first and cloud-native patterns.
• Hands-on with Azure OpenAI / Azure AI app development and tool/function calling patterns.
• Experience building agentic systems using one or more:
• Microsoft Agent Framework (or Semantic Kernel agent framework)
• Semantic Kernel / AutoGen patterns (multi-agent orchestration)
• Production mindset: testing, CI/CD, telemetry, incident readiness.
• Azure OpenAI, Azure AI Search, Azure Functions, Cosmos DB / Azure SQL, Microsoft Fabric
• Copilot Studio (agents, connectors, plugins, actions)
• Secure-by-design: identity, secrets, and least-privilege access patterns (e.g., Entra-backed auth).

Good To Have Skills

• Azure AI Foundry Agents experience (agent service + SDK), including tracing/monitoring.
• Copilot Studio: generative answers/actions, plugins, connectors, multi-channel publishing.
• MCP (Model Context Protocol) exposure for tool/server interoperability.
• Practical use of GitHub Copilot Agent Mode to accelerate multi-step dev loops.
• Familiarity with Claude Code (agentic coding in terminal/IDE) as part of your personal dev acceleration toolkit.