Applied AI Software Engineer

About Blueprint Blueprint is a technology solutions firm headquartered in Bellevue, Washington, with teams across the United States. We help organizations turn complex challenges into meaningful outcomes by connecting strategy and execution across AI, cloud, data, product development, and emerging technology. Our culture is built by people who care deeply about doing exceptional work. We set high standards, take ownership, and continually challenge ourselves and one another to be better. We work hard, support each other, and take genuine pride in what we deliver for our clients, partners, and teams. At Blueprint, you'll work alongside talented people with different experiences, expertise, and perspectives. You'll have opportunities to take on meaningful challenges, expand your skills, and see the impact of what you build. Bring your perspective. Raise the standard. Build what matters. In this role You will build applied AI and platform solutions that transform manual, repetitive, and human-driven operational processes into reliable automated and agent-driven systems. You will identify opportunities for automation, develop AI agents and orchestration workflows, and turn successful prototypes into secure, observable, production-ready services. Working across Azure, .NET, C#, Python, React, SQL, and modern AI technologies, you will build integrations, APIs, evaluation frameworks, and automation infrastructure while partnering directly with end users and cross-functional stakeholders. This role is well suited for an engineer who is comfortable operating in ambiguity, understands both traditional software engineering and non-deterministic AI systems, and can balance experimentation with production-quality engineering standards. Responsibilities Identify high-friction operational workflows, quantify the current-state cost, and design automated or agent-driven solutions that improve efficiency, reduce errors, and increase throughput.Build AI agents and intelligent workflows using Azure AI Foundry, Copilot Studio, Microsoft Agent Framework, MCP, and related frameworks.Design multi-step tool use, orchestration, and human-in-the-loop workflows for agentic applications.Replatform prototypes and proofs of concept into secure, scalable, observable, and supportable production services.Design and develop RESTful APIs, tool/function endpoints, and backend services using Azure App Services.Apply prompt engineering, grounding, retrieval, Azure AI Search, and evaluation practices to improve AI system quality and reliability.Build evaluation and quality infrastructure for AI systems, including offline evaluation sets, CI regression gates, drift detection, and release criteria.Develop observability for AI and agentic systems, including quality, cost, latency, tool-call outcomes, and rollback capabilities.Build integrations between internal and external systems while maintaining appropriate human review, approval, and intervention points.Implement secure authentication and authorization using Entra ID, including workload identity, least-privilege access, and delegated permissions.Support privacy, security, accessibility, responsible AI, and compliance assessments for AI-powered solutions.Use Azure DevOps for source control, CI/CD, automated testing, release management, and work tracking.Partner with engineers, program managers, stakeholders, and end users to understand operational processes and translate them into effective technical solutions.Participate in code reviews, unit testing, Agile ceremonies, troubleshooting, and debugging across distributed and AI-dependent systems.Evaluate emerging AI and agent technologies and provide practical recommendations for their application.Document workflow architectures, agent behavior and boundaries, integration contracts, and system designs.Qualifications Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent professional experience.3+ years of professional software development experience, with a focus on cloud-based applications.Strong proficiency with .NET, C#, Python, and SQL for backend development.Hands-on experience building with LLMs and AI services, including prompt engineering.Experience taking at least one AI-powered feature, agent, or automation into production or near-production and being able to discuss the technical implementation in depth.Demonstrated experience automating real-world workflows through process automation, orchestration, integrations, or agentic tooling.Strong knowledge of Azure App Services, Azure SQL, Logic Apps, Copilot Studio, Azure AI Foundry, and Azure AI Search.Experience using Azure DevOps for version control, build automation, release management, and project tracking.Experience designing secure applications using Entra ID for authentication and authorization.Strong understanding of SQL database design, optimization, and querying.Strong problem-solving, debugging, and troubleshooting abilities across