Blueprint, a technology solutions firm based in Bellevue, Washington, is hiring a Software Engineer to turn slow, manual business processes into reliable automated and agent-driven systems. The role is remote on Eastern time, ideally for someone in the Charlotte, NC area.
About Blueprint
Focus: AI, cloud, data, product development and emerging technology
Approach: Connecting strategy with execution for clients across the United States
Culture: High standards, ownership and pride in the work delivered
Position Overview
As a Software Engineer building AI agents, you will find high-friction workflows, design automated solutions and move prototypes into secure, observable production services. Your daily stack covers Azure, .NET, C#, Python, React and SQL, plus Azure AI Foundry, Copilot Studio and MCP. You will also build evaluation checks, monitoring and Entra ID security, while working directly with end users. Remote AI engineering jobs are among the fastest-growing in tech, which makes this a strong career move.
Why This Role Matters: You will combine classic software engineering with the less predictable world of AI systems, and you will see your work replace real manual effort.
Key Responsibilities
- Identify manual workflows and design automated or agent-driven solutions.
- Build AI agents and orchestration workflows with Azure AI Foundry, Copilot Studio and MCP.
- Develop REST APIs and backend services on Azure App Services.
- Create evaluation tools, quality gates and monitoring for AI systems.
- Secure applications using Entra ID and support privacy and responsible AI reviews.
- Use Azure DevOps for CI/CD, testing and releases.
- Work with stakeholders and end users, and document designs clearly.
Qualifications & Requirements
- Bachelor’s degree in Computer Science, Engineering or equivalent experience.
- 3+ years of cloud software development, with strong .NET, C#, Python and SQL skills.
- Hands-on LLM experience, including prompt engineering, and at least one AI feature or agent taken to production or near production.
- Strong knowledge of Azure App Services, Azure SQL, Logic Apps, Copilot Studio, Azure AI Foundry and Azure AI Search.
- Nice to have: Semantic Kernel, LangGraph, LLM evaluation harnesses and React.
Application Tip
Be ready to explain one AI project in detail, including how you tested it and kept it reliable. Blueprint’s listing mentions benefits that may include medical, dental, vision and a 401(k), subject to role and eligibility.
Who Should Apply?
- .NET and Python Developers: Ready to move into AI agent development.
- Azure Engineers: With automation and integration experience.
- AI Builders: Who have shipped an LLM feature and want to do more.
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