Senior AI/.NET Developer

Senior AI/.NET Engineer

Location: Remote - United States

Duration: Full-Time/Permanent

Role Overview

The Senior AI/.NET Engineer will architect, develop, and maintain cloud-native applications and AI-powered solutions using C#, .NET, and Microsoft Azure. This role combines senior-level enterprise application development with hands-on design and implementation of AI capabilities, including LLM-powered applications and autonomous AI agents that enhance and automate business workflows.

Key Responsibilities

• Architect, design, develop, and maintain robust, scalable, production-grade applications using C#, .NET, .NET Core , and modern application frameworks.
• Design, integrate, and deploy AI-powered applications and agentic solutions that automate tasks, reason over enterprise data, and enhance user workflows.
• Develop AI solutions using Azure OpenAI, Azure AI Services , and modern agent frameworks such as Semantic Kernel, Microsoft Agent Framework, AutoGen, OpenAI SDKs, or Anthropic SDKs .
• Implement Retrieval-Augmented Generation (RAG) , prompt engineering, function/tool calling, context management, and vector-based search to ground AI applications in enterprise data.
• Design and implement AI agents capable of planning, invoking tools, maintaining context, and executing multi-step workflows.
• Establish software engineering standards, conduct code reviews, and mentor junior and mid-level developers.
• Partner with business stakeholders, architects, and engineering teams to translate requirements into technical designs, architecture, and delivery roadmaps.
• Integrate security, privacy, governance, evaluation, and responsible AI practices throughout the application and AI development lifecycle.
• Develop and integrate RESTful and SOAP-based services and APIs with enterprise and third-party systems.
• Participate across the full SDLC, including architecture, design, development, testing, deployment, troubleshooting, and documentation.
• Evaluate emerging AI and software development technologies and identify opportunities to improve engineering efficiency and business processes.

Required Qualifications

• Deep, hands-on experience developing production applications using C#, .NET, and .NET Core .
• Proven experience building or integrating AI/LLM-based solutions , including prompt engineering, RAG, function/tool calling, and model APIs such as Azure OpenAI or OpenAI .
• Hands-on experience developing AI agents or agentic workflows , including planning, tool execution, context management, and multi-step task orchestration.
• Experience with AI/agent frameworks such as Semantic Kernel, Microsoft Agent Framework, AutoGen, LangChain , or comparable technologies.
• Strong experience developing applications and services within Microsoft Azure , including Azure App Services, Azure Functions, Logic Apps, Key Vault, Storage Accounts , and Azure DevOps.
• Strong experience with Azure SQL and T-SQL , including database design, stored procedures, user-defined functions, security, and performance considerations.
• Familiarity with vector search and data technologies such as Azure AI Search and Cosmos DB .
• Strong understanding of DevOps, CI/CD, Git, branching strategies, and release management .
• Proficiency with Visual Studio and/or VS Code .
• Strong understanding of the complete software development lifecycle , including architecture, design, implementation, testing, deployment, security, and documentation.
• Experience designing and integrating RESTful APIs, web services, and SOAP APIs .
• Demonstrated technical leadership through mentoring, code reviews, architectural decision-making, and establishment of development best practices.
• Strong analytical and problem-solving skills with the ability to quickly evaluate and adopt emerging technologies.
• Excellent written and verbal communication skills, with the ability to communicate effectively with both technical and non-technical stakeholders.

Preferred Qualifications

• Experience delivering production-scale AI and agentic solutions supporting real business processes, including document analysis, summarization, intelligent automation, copilots, or workflow orchestration.
• Experience supporting applications, systems, or databases within legal, financial services, or HR environments .
• Experience with JavaScript, TypeScript, HTML5, and CSS .
• Experience with modern client-side frameworks such as React .
• Experience supporting legal technology, including document management systems, legal workflows, or onboarding applications .
• Working knowledge of Responsible AI , including model evaluation, guardrails, content safety, monitoring, and AI cost/performance optimization.

Education & Experience

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
• 4+ years of professional software development experience , with substantial hands-on experience developing production applications with C#/.NET.
• Demonstrated experience delivering or integrating AI/LLM-based solutions strongly preferred.
• Equivalent combination of education, technical training, and professional experience may be considered.