MGT (formerly Layer 3 Communications)
Website:
mgt.us
Job details:
MGT is a US-based management consulting firm serving public sector and education agencies, alongside clients in technology, finance, and advisory. With several decades of experience and significant recent growth, MGT has a dedicated AI practice - focused on designing, building, and deploying AI-powered solutions across the firm and its clients.
The Role
You will design and deliver production-ready, scalable agent-based systems that integrate with Azure cloud services and Microsoft platforms - working directly on AI initiatives spanning internal automation, client-facing AI tools, and agentic workflow platforms.
The expectation is strong engineering discipline, end-to-end ownership, and the ability to think in systems. You will build things that get used.
Key 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
Core Requirements
· 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
Preferred / AI-Focused Experience
· 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
Ideal Mindset
· Builders who ship - not just experiment
· Strong ownership and accountability for outcomes
· Ability to think in systems, not just in code
· Pragmatic about AI capabilities and trade-offs
· Cares about maintainability and long-term code health
· Collaborative across time zones and disciplines
Click on Apply to know more.