Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use contemporary frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills : .Net Full Stack Development Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: 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 contemporary 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.

📌 Custom Software Engineer (Hyderabad)
🏢 Accenture in India
📍 Hyderabad