AI Full-Stack Software Developer

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field (or equivalent experience).

5+ years of professional software development experience using C# and the .NET platform.

Strong experience developing modern web applications using ASP.NET Core, Web APIs, and front-end frameworks such as React, Angular, or Blazor.

Experience designing reusable software components and enterprise application architectures.

Knowledge of AI and machine learning concepts, including LLMs, prompt engineering, vector databases, embeddings, and AI orchestration frameworks.

Experience integrating Azure OpenAI, Microsoft Copilot Studio, Azure AI Services, OpenAI APIs, Anthropic Claude APIs, or similar AI platforms.

Strong understanding of relational and non-relational database technologies including SQL Server, PostgreSQL, Cosmos DB, or similar platforms.

Experience with source control systems such as Git and collaborative development workflows.

Understanding of object-oriented programming principles, software design patterns, and secure coding practices.

Strong troubleshooting, analytical, and problem-solving capabilities.

Self-motivated, requires little direct supervision or assistance to complete tasks.

Able to contribute to a team-oriented, collaborative environment.

Passionate about learning, embracing new technologies, and solving complex business challenges.

• Experience with Azure AI Foundry, Azure OpenAI, Microsoft Copilot Studio, Semantic Kernel, LangChain, or similar AI development frameworks.
• Experience developing Retrieval-Augmented Generation (RAG) solutions.
• Experience with Kubernetes, containers, and cloud-native application architectures.
• Knowledge of DevOps practices, CI/CD pipelines, Infrastructure as Code, and GitHub Actions or Azure DevOps.
• Experience working with vector databases such as Pinecone, Azure AI Search, Weaviate, or Qdrant.
• Familiarity with MLOps concepts and machine learning deployment pipelines.
• Experience building AI agents, workflow automation, and autonomous business process solutions.
• Knowledge of information security, AI governance, and secure development lifecycle practices.
• Experience with financial services, collections, fintech, or other regulated industries.
• Microsoft Azure, AI, or cloud certifications are preferred.