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

We are seeking a Senior Software Engineer with a strong C#/.NET engineering foundation who has expanded into modern AI development using Python, LLMs, and agentic technologies., * Design, develop, and maintain enterprise applications and services using C#, .NET, ASP.NET MVC/Core, SQL, and modern web technologies.

• Build and integrate AI-powered functionality into existing and new software applications.
• Develop Python-based AI services, APIs, workers, and automation workflows.
• Design and build LLM-powered applications, agents, and agentic workflows.
• Develop and integrate MCP servers and MCP-enabled tools for enterprise applications.
• Integrate applications with commercial and locally hosted LLMs using technologies such as OpenAI APIs, Claude, Ollama, or similar platforms.
• Build secure integrations between AI services, enterprise applications, APIs, databases, and internal systems.
• Design reliable production software with an emphasis on scalability, maintainability, testing, security, and performance.
• Help establish engineering standards and best practices for agentic and AI-assisted software development.
• Evaluate emerging AI development tools, frameworks, coding agents, and model platforms.
• Participate in architecture discussions, code reviews, troubleshooting, and technical knowledge sharing.
• Collaborate with business stakeholders and engineering teams to translate business requirements into production-ready technical solutions.

• 5+ years of professional software engineering experience, ideally with significant hands-on experience in C#/.NET.
• Strong experience building production applications using C#, .NET / .NET Core, ASP.NET MVC/Core, REST APIs, and SQL.
• Strong software engineering fundamentals including application architecture, APIs, object-oriented development, testing, CI/CD, and production deployment.
• Hands-on Python development, particularly for AI applications, backend services, APIs, or automation.
• Experience integrating LLMs into production software applications.
• Experience working with OpenAI APIs or comparable LLM APIs/platforms.
• Experience building AI agents, agentic workflows, or AI-enabled application features.
• Hands-on experience with Model Context Protocol (MCP), ideally including development of custom MCP servers or tools.
• Understanding of authentication, authorization, APIs, and secure service-to-service communication.
• Experience with cloud environments such as Azure or AWS.
• Ability to take ownership of complex engineering problems from architecture and design through production deployment.

PREFERRED QUALIFICATIONS:

• Experience in the legal industry.
• Experience with iManage Cloud API, PowerShell, Salesforce, SharePoint, Azure DevOps, Aderant, Workday.