AI Agent开发工程师-汽车专项-实习
Tasks
- Accelerate training and inference
- Add observability with logging
- Analyze requirements
- Apply model quantization
- Build APIs with authentication and logging
- Build tooling plugin capabilities
- Create evaluation and automated case testing
- Deliver modules documentation demos
- Deploy on edge and client
- Design prompts
- Develop AI agent applications
- Implement QandA and function calling
- Implement knowledge graph components
- Improve large model core capabilities
- Incorporate user feedback loops
- Manage context and streaming responses
- Monitor call cost and quality
- Orchestrate workflows
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | Authentication | Autogen | Concurrency | Context Management | CrewAI | Data Structures | Debugging | DeepSpeed | Entity Relation Extraction | Express | FastAPI | Function Calling | Graph construction | Knowledge graphs | LLM Evaluation | Langchain | Langgraph | Langsmith | Logging | Megatron-LM | Monitoring | Networking | Next.js | Node.js | OpenAI Assistants | Prompt engineering | PyTorch | Python | React | Relation extraction | Streaming | TensorFlow | Tool use | TypeScript | Vue | Weights and Biases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Agent Developer | Agent Developer | Developer | Engineer | Learning Engineer | Machine Learning Engineer
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