Senior AI/.NET Engineer

Overview

The Senior Application Developer is responsible for architecting, building, and maintaining cloud-native applications and AI-powered solutions using C#, the .NET platform, and Microsoft Azure. This role blends advanced enterprise application development with the design and implementation of AI features and autonomous AI agents that enhance and automate business workflows. The role carries technical leadership expectations — setting standards, mentoring developers, and driving architectural decisions.

The Senior Developer is expected to operate with a high degree of autonomy, exercise sound technical judgment, lead by example, and guide team members to effectively accomplish project objectives.

Responsibilities

• Architect and develop robust, scalable, production-grade applications in C#using .NET / .NET Core, NET Core, and modern application frameworks.
• Lead the design, integration, and deployment of AI-powered features and AI agentsthat automate tasks, reason over enterprise data, and augment user workflows.
• Design and orchestrate AI solutions using services such as Azure OpenAI, Azure AI Services, and agent frameworks (e.g., Semantic Kernel, Microsoft Agent Framework / AutoGen, or the OpenAI/Anthropic SDKs).
• Implement retrieval-augmented generation (RAG), advanced prompt engineering, tool/function calling, and vector-based search to ground AI on enterprise content.
• Establish engineering standards, conduct code reviews, and mentor junior and mid-level developers.
• Partner with stakeholders and architects to translate business requirements into technical designs and delivery roadmaps.
• Integrate AI capabilities responsibly, incorporating security, privacy, evaluation, and governance considerations throughout.

Compensation: -The anticipated base salary range offered for this role will be between $140,000 to $175,000 and represents the firm’s good faith and reasonable estimate of the range of possible base compensation. Actual base compensation will be dependent upon several factors, including but not limited to the candidate’s relevant experience, performance, qualifications, degrees, and location, well as the needs of the firm.

Qualifications

• Deep, demonstrable expertise developing production applications in C#with .NET / .NET Core and NET Core.
• Proven experience building or integrating AI/LLM-based solutions— including prompt engineering, function/tool calling, RAG patterns, and working with model APIs (Azure OpenAI, OpenAI, or similar).
• Hands-on experience with AI agent development— designing agents that plan, call tools, maintain context, and execute multi-step tasks (e.g., via Semantic Kernel, Microsoft Agent Framework, AutoGen, or LangChain-style orchestration).
• Strong experience with application development for Azure, including App Services, Azure Functions, Logic Apps, Key Vaults, Storage Accounts, and Azure DevOps pipelines.
• Strong experience with Azure SQL and T-SQL, including designing SQL database objects, stored procedures, user-defined functions, and integrated security; familiarity with vector data stores (e.g., Azure AI Search, Cosmos DB) is a plus.
• Solid command of DevOps and CI/CD pipelinesand version control systems such as Git, including branching strategies and release management.
• Proficiency developing in Visual Studio(and/or VS Code).
• Mastery of all phases of the software development life cycle (SDLC)— architecture, design, implementation, testing, deployment, and documentation — and the ability to embed security considerations into every phase.
• Strong experience with Web Services, RESTful APIs, and SOAP APIsto integrate applications with vendor and enterprise systems.
• Demonstrated technical leadership — mentoring developers, owning architectural decisions, and driving best practices across a team.
• Excellent problem-solving abilities and an aptitude for rapidly learning and evaluating emerging technologies, especially in the fast-moving AI space.
• Effective interpersonal and written/verbal communication skills, with the ability to communicate technical concepts to both technical and non-technical audiences, and close attention to detail.

Preferred

• Experience delivering AI/agentic solutions for real business processes (document analysis, summarization, intelligent automation, copilots) at production scale.
• Experience working with legal, financial, and HR systems, applications, and databases.
• Experience with client-side t…