Note: The job is a remote job and is open to candidates in USA. MGT is a US-based management consulting firm serving public sector and education agencies, alongside clients in technology, finance, and advisory. The role involves designing and delivering production-ready, scalable agent-based systems that integrate with Azure cloud services, focusing on AI initiatives and collaborating with US-based teams.
Responsibilities
- Designing and building scalable agentic systems using modern orchestration patterns
- Developing multi-agent workflows with tool use, memory, and decision logic
- Building backend services and APIs supporting AI-driven applications
- Integrating AI systems with enterprise data, platforms, and business workflows
- Deploying, scaling, and monitoring applications on Azure-native services
- Solving real problems with end-to-end ownership
- Partnering with consulting leads to translate ambiguous use cases into working systems
- Contributing to internal frameworks, reusable components, and engineering standards
Skills
- 3+ years of professional backend engineering experience
- Strong hands-on experience with Microsoft Azure (compute, storage, networking, security)
- Proficiency in Python, C#, or TypeScript
- Experience with cloud-native architectures — APIs, messaging, async workflows, identity
- Solid understanding of distributed systems and reliability principles
- Experience in modern DevOps environments with CI/CD pipelines
- Comfortable operating with ambiguity and driving solutions forward independently
- Hands-on experience building AI agents, automation systems, or LLM-based applications
- Familiarity with orchestration frameworks such as Semantic Kernel, LangGraph, AutoGen etc
- Experience with Azure AI Foundry, Azure OpenAI, or AI Studio
- Understanding of RAG architectures, prompt design, and tool calling patterns
- Exposure to Copilot Studio, Microsoft Graph, or enterprise SDK integrations
Company Overview