Senior C#/.NET Software Engineer - AI & Agentic Systems

• Design, develop, and maintain enterprise applications and services using C#, .NET, ASP.NET MVC/Core, SQL, and modern web technologies.

• 5+ years of professional software engineering experience, ideally with significant hands-on experience in C#/.NET. \n

• Strong experience building production applications using C#, .NET / .NET Core, ASP.NET MVC/Core, REST APIs, and SQL. \n

• Strong software engineering fundamentals including application architecture, APIs, object-oriented development, testing, CI/CD, and production deployment. \n

• Hands-on Python development, particularly for AI applications, backend services, APIs, or automation. \n

• Experience integrating LLMs into production software applications. \n

• Experience working with OpenAI APIs or comparable LLM APIs/platforms. \n

• Experience building AI agents, agentic workflows, or AI-enabled application features. \n

• Hands-on experience with Model Context Protocol (MCP), ideally including development of custom MCP servers or tools. \n

• Understanding of authentication, authorization, APIs, and secure service-to-service communication. \n

• Experience with cloud environments such as Azure or AWS. \n

• Ability to take ownership of complex engineering problems from architecture and design through production deployment. \n, * Experience in the legal industry. \n

• Experience with iManage Cloud API, PowerShell, Salesforce, SharePoint, Azure DevOps, Aderant, Workday. \n

• Integrate applications with commercial and locally hosted LLMs using technologies such as OpenAI APIs, Claude, Ollama, or similar platforms. \n

• Build secure integrations between AI services, enterprise applications, APIs, databases, and internal systems. \n

• Design reliable production software with an emphasis on scalability, maintainability, testing, security, and performance. \n

• Help establish engineering standards and best practices for agentic and AI-assisted software development. \n

• Evaluate emerging AI development tools, frameworks, coding agents, and model platforms. \n

• Participate in architecture discussions, code reviews, troubleshooting, and technical knowledge sharing. \n

• Collaborate with business stakeholders and engineering teams to translate business requirements into production-ready technical solutions. \n

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