Senior C# / Azure Developer (AI & API Architecture)

We're hiring a C# developer who can architect and ship production-grade backend systems from day one. This starts as a contract engagement with the explicit intent to convert to full-time. You'll design scalable APIs, manage Azure infrastructure, and integrate AI capabilities directly into the product — not as a side feature, as core architecture. If you've built serious .NET systems on Azure and you've worked with LLMs beyond the tutorial level, we want to talk. Bolder Apps is a product development studio that partners with US-based startups and established companies to build and scale innovative digital products. We specialize in AI-powered development, full-cycle product creation, and engineering team augmentation. Our mission: build bolder, faster, and smarter.

Our Culture & Values (read before applying) We move fast. We take ownership. We work with AI, not against it. And we expect everyone to bring ideas, not wait for instructions. There are no daily checklists, no micromanagement, and no corporate politics. Instead, you'll have autonomy, trust, and a team that's always ready to help you grow. At Bolder Apps, impact matters more than titles, and curiosity matters more than seniority. If you want a place where you can level up fast and actually see your work making a difference — welcome aboard. Responsibilities: • Design, build, and maintain high-performance Web APIs using C# and .NET Core — clean architecture, no shortcuts, built to last • Architect and manage cloud infrastructure on Azure: App Services, Functions, SQL Database, Service Bus, Key Vault, and Entra ID • Integrate LLMs and AI features directly into the application ecosystem — Azure OpenAI, semantic search, vector databases, embeddings • Participate in foundational system design decisions with an eye on long-term maintainability, not just the current sprint • Document codebase logic and API endpoints clearly enough that the next engineer doesn't need to ask you how anything works • Communicate architectural and AI trade-offs to non-technical stakeholders in plain language, in writing, without being asked twice