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# AI Solutions Engineer *Global

- **Company:** MGT Impact Solutions, LLC
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Performance Management, Microsoft Azure, Microsoft Online Services, C Sharp (Programming Language), Cloud Engineering, Distributed Systems, Python (Programming Language), Systems Integration, TypeScript, Enterprise Data Management, Large Language Models, Multi-Agent Systems, Prompt Engineering, Backend, Kubernetes, Virtual Agents
- **Published:** July 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9540048561a19bbe

## About the Role

* 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

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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

## Description

You will design and deliver production-ready, scalable agent-based systems that integrate with Azure cloud services and Microsoft platforms - working directly on AI OG initiatives spanning internal automation, client-facing AI tools, and agentic workflow platforms., * 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


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