AI Full Stack Engineer

What you'll do

• Own application features across design, development, testing, deployment, and operational support.
• Build AI assistants and integrate AI services, MCP or similar frameworks, and RAG solutions into applications.
• Use AI-assisted development tools to accelerate coding, testing, documentation, and refactoring while maintaining code quality.

What they ask for

• Bachelor's degree in a related technical field and 5+ years of software engineering experience.
• 3+ years developing and supporting production-grade applications using C#, ASP.NET, Angular, REST APIs, and relational or NoSQL databases.
• 2+ years with cloud-native technologies, CI/CD pipelines, containerization, and Kubernetes-based deployment environments.
• 1+ year designing and implementing AI-enabled solutions, such as custom agents, prompt engineering, RAG systems, or LLM integrations.

Nice to have

• 2+ years applying AI-assisted development practices to improve productivity and reduce development cycles.
• Experience building custom AI agents using MCP or similar frameworks.

Tools

C#, ASP.NET, Angular, REST APIs, CI/CD pipelines, Kubernetes, MCP, RAG

AI focus

Builds AI assistants, agents, and integrations; applies prompt engineering, RAG, LLM services, and AI-assisted software development.