Ai应用工程师
Tasks
- Automate AI workflows
- Build AI agent platform
- Build prompt engineering workflows
- Build reusable AI templates
- Conduct cross department requirements discovery
- Create AI internal training workshops
- Deliver AI PoC to production
- Design end-to-end AI solutions
- Design multi agent collaboration
- Develop agent orchestration engines
- Implement RAG retrieval
- Implement function calling
- Integrate AI systems
- Manage agent context
- Optimize AI solutions iteratively
- Research AI tools and models
- Track AI impact metrics
- Write AI usage manuals
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Agent systems | Autogen | Chroma | Docker | Function Calling | Go | Java | Kubernetes | LLM | Langchain | Langgraph | Language Models | Large Language Models | MCP | Milvus | Multi-Agent | Multi-Agent Systems | Node.js | Pinecone | Prompt engineering | Python | RAG | SQL | Tool use | Vector Databases | Web development
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Artificial Intelligence | Bachelor of Science in Computer Science | Bachelor of Science in Software Engineering
Roles
AI | AI Application Engineer | AI Engineer | Application Engineer | Engineer
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