Senior AI/.NET Developer

Gotham Technology Group; United States; On-site; USD 150,000 - 200,000; Full time

Job summary

Gotham Technology Group is seeking a Senior AI/.NET Engineer to architect, develop, and maintain cloud-native applications and AI-powered solutions using C#, .NET, and Microsoft Azure.

The role combines senior-level enterprise development with hands-on design of AI capabilities, including LLM-powered apps and autonomous AI agents to automate business workflows.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or related field.
• 4+ years of professional software development experience with C#/.NET.
• Proven experience delivering AI/LLM-based solutions and agentic workflows.
• Experience with AI/agent frameworks like Semantic Kernel, LangChain, or comparable.

Responsibilities

• Architect, design, develop, and maintain production-grade applications using C#, .NET, and cloud-native frameworks.
• Design and deploy AI-powered applications and agentic solutions to automate tasks and enhance workflows.
• Develop AI solutions with Azure OpenAI, Azure AI Services, and related SDKs.
• Mentor junior/mid-level developers and enforce coding standards and best practices.
• Collaborate with stakeholders to translate requirements into technical designs and roadmaps.
• Implement security, privacy, governance, and responsible AI practices across the lifecycle.
• Develop and integrate RESTful and SOAP-based services and APIs with enterprise systems.
• Contribute across the full SDLC including testing, deployment, and documentation.

Skills

C#/.NET

Azure

AI/LLM

REST APIs

DevOps

Mentoring

Education

Bachelor's degree in CS/Software Engineering

Tools

Azure OpenAI

OpenAI SDKs

VS Code

Azure DevOps

SQL/T-SQL

Job description

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 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.