Full Stack Developer - 20845

Feature Development: Contribute directly to AI-driven features, including personalization algorithms, smart recommendation logic, and LLM-powered functionality as the product roadmap evolves.

Pragmatic Implementation: Apply practical engineering judgment to evaluate where generative AI and machine learning deliver real, measurable user value versus technical complexity.

Experience Level: Mid-to-senior level full-stack or backend engineering experience (no entry-level candidates).

Backend Mastery: Strong, demonstrable engineering skills in C# and .NET (ASP.NET Core / MVC)—this constitutes the primary focus of the role.

Database & Front-End Proficiency: Working proficiency with SQL Server/T-SQL, paired with hands-on experience building web application interfaces using React and TypeScript.

Cloud Infrastructure: Direct experience deploying, monitoring, and administering applications within Microsoft Azure using established CI/CD pipelines.

Communication & Overlap: Strong written and verbal English communication skills, with full availability during core U.S. business hours (EST/CST).

Prior experience integrating AI/LLM tools, personalization frameworks, or recommendation engines into live SaaS platforms.

Technical background in loyalty programs, CRM platforms, retail tech, point-of-sale (POS), or payments.

Deep comfort navigating, maintaining, and modernizing established codebases (beyond greenfield development).

Experience operating effectively within small, agile, and lean engineering teams.

Feature Velocity & Quality: Consistently delivering clean, well-tested, and maintainable C# features to production on schedule.

Query & Platform Performance: Optimizing T-SQL queries and backend execution times to maintain high data integrity and low latency.

Deployment Reliability: Maintaining high CI/CD pipeline health and uptime across Azure-hosted application services.