AI Full Stack Engineer

What you'll do

• Own full-stack application features across design, development, testing, deployment, and support.
• Build AI assistants and integrate AI services, models, tools, and systems using MCP or similar frameworks.
• Use AI-assisted development tools to accelerate coding, testing, documentation, and refactoring while maintaining quality.

What they ask for

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field.
• 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, containerization, and Kubernetes.
• 1+ year of hands-on experience 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.
• Experience with MCP or similar agent orchestration frameworks and deploying AI applications in mission-critical or high-availability environments.

Tools

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

AI focus

Develops AI assistants, agents, RAG and LLM integrations, MCP-based interoperability, and AI-assisted software delivery.