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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Development Engineer - **Company:** Everforth Apex - **Location:** Redmond, WA, United States (Remote available) - **Experience:** Experienced - **Salary:** $118,560.0 - $131,040.0 - **Contract:** Temporary contract - **Skills:** LangGraph Framework, Testing (Software), .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Application Services, User Authentication, Microsoft Azure, Software Bug Management, Business Systems, C Sharp (Programming Language), Cloud Computing, Cloud Engineering, Software Documentation, Information Systems, Computer Programming, Database Design, Software Debugging, DevOps, Distributed Systems, Github, Python (Programming Language), Microsoft Software, SQL Azure, Software Architecture, Reliability Engineering, Cloud Services, Standard Sql, Software Engineering, SQL Databases, Systems Integration, Enterprise Search, Microsoft Agent Framework, Scripting, Microsoft Power Automate, Spring Cloud, ReactJS, Large Language Models, Prompt Engineering, Backend, Agentic-AI, Build Management, Microsoft Copilot Studio, AI Platforms, Information Technology, Api Design, Restful APIs, Model Context Protocol, Semantic Kernel, Automation Anywhere, SDET - **Published:** October 6, 2026 - **Apply:** https://www.careerbuilder.com/job-details/software-development-engineer--25d75c21-9f59-45c4-9a36-df0b40b6888c ## About the Role Are you excited about using AI to solve real business problems instead of building demos that never leave the lab?, Technical Skills * 3+ years of professional software engineering experience. * Strong programming experience with: * C# and .NET (preferably .NET 8/9/10 or newer versions) * Python * SQL * Experience building cloud applications on Microsoft Azure. * Strong understanding of API development, backend architecture, and database design. AI & Automation Experience * Hands-on experience working with LLMs and AI services. * Practical knowledge of: * Prompt engineering * AI workflow orchestration * Retrieval and grounding techniques * Agentic AI concepts * Must have built and delivered at least one AI-powered feature, agent, assistant, or automation into production or near-production environments and be able to discuss the implementation in technical depth. * Experience enhancing and maintaining existing AI solutions through feature development, bug fixes, and workflow optimization. Azure Expertise Strong experience with: * Azure App Services * Azure SQL * Logic Apps * Azure AI Foundry * Copilot Studio * Azure AI Search * Azure DevOps Additional Requirements * Experience implementing secure authentication and authorization solutions. * Excellent debugging and problem-solving skills. * Strong communication skills and ability to work directly with business stakeholders. * Comfortable working in ambiguous environments and driving solutions from concept through production. Preferred Qualifications * Previous Microsoft experience. * Experience with: * Microsoft Agent Framework * Semantic Kernel * LangGraph * MCP (Model Context Protocol) * React development experience. * Experience building evaluation frameworks for AI systems. * Experience deploying and supporting AI solutions at scale. * Familiarity with Responsible AI practices and enterprise compliance requirements. * Proven record of modernizing manual business processes through automation. What Were Looking For The ideal candidate is someone who: * Has actually shipped AI solutions, not just experimented with them. * Can explain the architecture, tradeoffs, and performance of AI systems theyve built. * Thinks like both an engineer and a problem solver. * Understands when AI is the right solution and when a traditional automation is better. * Enjoys turning messy, manual business processes into elegant, scalable systems. Bonus Points For: * Microsoft background * Active GitHub portfolio, demos, or AI projects that can be shared during the interview process * Charlotte, NC local candidates, Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Authentication, Automation, Business Development, Business Processes, Business Solutions, Career Counseling, Cloud Applications, Cloud Computing, Communication Skills, Computer Programming, Customer Support/Service, Database Design, Debugging Skills, DevOps, Distributed Applications, Engineering, Genetics, GitHub, Identify Issues, Information Technology & Information Systems, Legal, MCP - Microsoft Certified Professional, Microsoft .NET, Microsoft C# (C Sharp), Microsoft Product Family, Microsoft Windows Azure, Operational Strategy, Problem Solving Skills, Product Demonstration, Production Support, Production Systems, Proof of Concept, Prototyping, Python Programming/Scripting Language, Quality Management, Regulatory Compliance, Reliability Engineering, SQL (Structured Query Language), Software Design for Test (SDET), Software Development, Software Engineering, Software Testing, Systems Scalability, Testing, User Documentation ## Description Were looking for a Software Engineer with hands-on AI and cloud engineering experience to help design and build intelligent systems that automate how organizations operate. This role sits at the intersection of software engineering, AI, automation, and platform development, transforming manual, repetitive workflows into scalable, agent-driven solutions deployed in production. Youll work with modern Microsoft technologies including .NET, C#, Python, Azure AI Foundry, Copilot Studio, Azure AI Search, and Azure Cloud Services to create systems that improve efficiency, reduce operational friction, and enable teams to work smarter. What Youll Do Build AI-Powered Business Solutions * Design and implement AI agents, copilots, and workflow automations that solve real operational challenges. * Use Azure AI Foundry, Copilot Studio, Azure AI Search, MCP, and related Microsoft AI technologies to develop intelligent solutions. * Apply prompt engineering, retrieval-augmented generation (RAG), and workflow orchestration techniques. Develop Production-Grade Applications * Build backend services using .NET, C#, Python, SQL, and REST APIs. * Create scalable cloud-native applications on Azure App Services and Azure SQL. * Take prototypes and proof-of-concepts and evolve them into secure, supportable production systems. Drive Process Automation * Partner with stakeholders to understand how work is performed today. * Identify opportunities to replace manual processes with intelligent automation. * Build integrations that connect business systems, workflows, and AI capabilities. Improve Reliability & Quality * Implement observability, monitoring, evaluation frameworks, and testing for AI-powered systems. * Troubleshoot issues across distributed applications, AI workflows, integrations, and cloud services. * Support ongoing enhancement, maintenance, and optimization of existing AI applications.