Company
Sr.ITSpecialist,AI
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. IT Specialist, AI. Skills: AI application development, large language models, RAG technologies, Microsoft Agent Framework. Full‑stack development. Platform engineering”
What You'll Achieve.
Deliver complex projects; Build automated workflows; Build AI workflows; Build enterprise knowledge bases; Implement AI retrieval; Develop MCP servers; Design AI Agents; Solve real business problems; Successful implementation
Industry & Context.
Problem-solving; Risk identification
What They're Looking For.
Must Have
Over 5 years of software development, 1–3 years of AI application development experience, Proficient in at least one mainstream programming language such as. NET Core or Python, solid coding skills, engineering mindset, communication and collaboration capable of independently owning module development, working with teams to deliver complex projects, Familiar with the Microsoft technology, knowledgeable about the Microsoft Agent Framework and its ecosystem, understanding of Semantic Kernel and AutoGen con-cepts, Familiar with RAG technologies, Proficient in Function Calling / MCP, able to integrate large models with external APIs, databases, and tools, hands on implementation experience, Experienced with Dify, N8N, and Microsoft Copilot Studio for usage and secondary, capable of building AI workflows, understanding core logic of low‑code AI platforms, Familiar with Azure AI Search, experience in building enterprise knowledge bases, implementing AI retrieval, developing MCP servers for integrating large models with external tools or systems, Experienced in designing AI Agents, defining agent roles, planning collaboration workflows based on business scenarios
Nice to Have
memory management, prompt engineering, multi agent collaboration mechanisms, data vectorization, vector databases, retrieval strategies
What You'll Do.
Full‑stack development
Enterprise‑level LLM development
AI application development
Front‑end development
End‑to‑end implementation
AI infrastructure implementation
Large‑model application implementation
Model solution design
Knowledge base construction
RAG system construction
AI Agents development
MCP Servers development
Secondary development
Low‑code platform integration
Automated workflows building
How You'll Work.
Team & Collaboration
Work with teams to deliver complex projects; Communicate with product, business, and operations teams; Understand requirements; Translate requirements into technical solutions; Cross‑department collaboration; Drive projects to successful implementation
Communication Scope
Communication and collaboration; Communicate efficiently; Understand requirements; Translate requirements; Cross‑department collaboration; Clear technical documents; Architecture design specifications; Presentation skills; Articulate solutions
Process & Methodology
Scrum agile development, Architecture‑related project planning, Risk identification, Problem-solving, Maintain progress and quality
Full Job Description
Responsible for full‑stack development and platform engineering of enterprise‑level large language models and AI applications, covering front‑end and back‑end development as well as database design and optimization. Led the end‑to‑end implementation of AI infrastructure and large‑model applications, including model solution design, prompt optimization, knowledge base and RAG system construction and orchestration, and development of AI Agents/MCP Servers. Conducted secondary development and integration of low‑code platforms such as Dify, N8N, Copilot Studio, and the Microsoft Agent Framework to build automated workflows. **Education /****教育背景** * Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related field. **Experience /****经验** 1\. Over 5 years of software development and 1–3 years of AI application development experience. 2\. Proficient in at least one mainstream programming language such as .NET Core or Python, with solid coding skills and strong engineering mindset. 3\. Strong communication and collaboration abilities; capable of independently owning module development as well as working with teams to deliver complex projects. 4\. Familiar with the Microsoft technology stack; knowledgeable about the Microsoft Agent Framework and its ecosystem, with an understanding of Semantic Kernel and AutoGen con-cepts such as memory management, prompt engineering, and multi agent collaboration mechanisms. 5\. Familiar with RAG technologies, including data vectorization, vector databases, and retrieval strategies. 6\. Proficient in Function Calling / MCP (Model Context Protocol), able to integrate large models with external APIs, databases, and tools, with hands on implementation experience. 7\. Experienced with Dify, N8N, and Microsoft Copilot Studio for usage and secondary development; capable of building AI workflows and understanding core logic of low‑code AI platforms. 8\. Familiar with Azure AI Search, with experien
Applying for this Sr. IT Specialist, AI role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Workday
- Workday has a multi-step form — save your progress after every section.
- "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
- Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
- Job requisition numbers are useful when following up with HR by email.
ANONYMOUS · UNFILTERED
What do employees actually say about this company?
Real rants from real employees. Read before you apply.