The role involves leading the end-to-end implementation of AI infrastructure and large-model applications including model solution design and prompt optimization
Job Summary
The role involves leading the end-to-end implementation of AI infrastructure and large-model applications including model solution design and prompt optimization.
Candidates must possess strong engineering mindset with proficiency in .NET Core or Python to build automated workflows using low-code platforms like Dify and N8N.
The position requires deep knowledge of the Microsoft technology stack, specifically the Agent Framework, Semantic Kernel, and AutoGen concepts for multi-agent collaboration.
Matching Summary
The role involves leading the end-to-end implementation of AI infrastructure and large-model applications including model solution design and prompt optimization.
Skills & Requirements
Must-have
5+ years software development experience
1-3 years AI application development
.NET Core or Python programming proficiency
Microsoft Agent Framework and Semantic Kernel
RAG technologies and vector databases
Function Calling and MCP integration
Dify, N8N, Copilot Studio secondary development
Nice-to-have
Strong communication and collaboration abilities
Scrum agile project management experience
Clear technical documentation skills
Cross-departmental project leadership
Risk identification and problem-solving
Key Requirements
Bachelor's or Master's degree in Computer Science or related field
Over 5 years of software development experience
1–3 years of AI application development experience