Mastery of C#, .NET 8, and Web API development. Strong experience with real-time communication frameworks, specifically SignalR (e.g., implementing live chat and agent hand-off workflows). Familiarity with Blazor Web Apps is highly preferred. Proven implementation of Clean Architecture and Domain-Driven Design (DDD). Ability to structure applications for high scalability and testing isolation. Advanced proficiency in SQL Server. Experience with Oracle database integration, specifically creating repositories that handle complex stored procedures returning multiple cursors. Familiarity with Python and/or TypeScript for developing or integrating Al-enabled applications, APIs, and automation solutions. Good understanding of LLMs (Large Language Models), MCP (Model Context Protocol), and RAG (Retrieval-Augmented Generation) concepts Knowledge of Generative Al concepts and basic understanding of prompt engineering Strong problem-solving and analyticalthinking. Ability to clearly explain technical/Al concepts to non-technical stakeholders. Effective communication, documentation skills, and a team-oriented mindset. Experience with MLOps practices, Docker/containerization, and CI/CD pipelines. Exposure to healthcare, licensing, or insurance domain systems Ability to prepare technical documentation, architecture diagrams, and solution designs. Ability to work under structured project environments (similar to government/RFP frameworks). Willingness to support production systems, critical deployments, and provide operational support when required.

Desired Candidate Profile

Mastery of C#, .NET 8, and Web API development. Strong experience with real-time communication frameworks, specifically SignalR (e.g., implementing live chat and agent hand-off workflows). Familiarity with Blazor Web Apps is highly preferred. Proven implementation of Clean Architecture and Domain-Driven Design (DDD). Ability to structure applications for high scalability and testing isolation. Advanced proficiency in SQL Server. Experience with Oracle database integration, specifically creating repositories that handle complex stored procedures returning multiple cursors. Familiarity with Python and/or TypeScript for developing or integrating Al-enabled applications, APIs, and automation solutions. Good understanding of LLMs (Large Language Models), MCP (Model Context Protocol), and RAG (Retrieval-Augmented Generation) concepts Knowledge of Generative Al concepts and basic understanding of prompt engineering Strong problem-solving and analyticalthinking. Ability to clearly explain technical/Al concepts to non-technical stakeholders. Effective communication, documentation skills, and a team-oriented mindset. Experience with MLOps practices, Docker/containerization, and CI/CD pipelines. Exposure to healthcare, licensing, or insurance domain systems Ability to prepare technical documentation, architecture diagrams, and solution designs. Ability to work under structured project environments (similar to government/RFP frameworks). Willingness to support production systems, critical deployments, and provide operational support when required.