Ai应用工程师
Tasks
- Automate AI workflows for departments
- Build AI Agent platform architecture
- Build knowledge base and RAG retrieval
- Build prompt engineering and RAG knowledge pipelines
- Conduct cross department requirements discovery
- Continuously optimize AI solutions
- Coordinate multi agent scheduling
- Create internal AI training workshops
- Create reusable AI application templates
- Deliver PoC to production deployment
- Design end-to-end AI solutions
- Develop agent orchestration engine
- Extract reusable capabilities for productization
- Implement function calling and tool use
- Integrate AI solutions into production systems
- Manage AI context
- Research AI tools and models
- Track AI impact metrics
- Write AI best practice documentation
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agent | API Integration | Autogen | Chroma | Data Analysis | Docker | Function Calling | Go | Java | Kubernetes | Langchain | Langgraph | Language Models | Large Language Models | MCP | Milvus | Multimodal AI | Node.js | Pinecone | Prompt engineering | Python | RAG | SQL | Tool use | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Applications Engineer | AI Engineer | Applications Engineer | Engineer
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