AI Agents算法实习生
Tasks
- Apply model distillation and quantization
- Build API and SDK for agent services
- Build coding agent data pipelines
- Build multi agent systems with planning and tool calling
- Create data and feedback loops for iteration
- Develop MCP servers and tools
- Develop automated evaluation metrics
- Implement RAG for codebase retrieval
- Implement parallel execution and caching
- Implement pretraining and continual training
- Implement safe sandbox execution
- Implement security and compliance tracing
- Integrate agents into IDE and Git platforms
- Optimize ReAct and tree of thought strategies
- Optimize inference with vLLM and TensorRT-LLM
- Perform SFT and preference optimization
- Standardize integrations for code search and CI
Perks/Benefits
- N/A
Skills/Tech-stack
API Design | AWQ | Asynchronous programming | Autogen | C++ | CrewAI | DeepSpeed | Docker | Function Calling | GPTQ | Gguf | Git | GitHub Actions | Go | Java | Jenkins | JetBrains | Langchain | Langgraph | Lightning | Linux | Llamaindex | LoRA | MCP | Memory | PagedAttention | Planner | Prompt Caching | PyTorch | Python | QLoRA | RAG | React | Rust | SDK design | SFT | Security Testing | Speculative decoding | TGI | Telemetry | TensorRT-LLM | Tracing | Transformers | Unit Testing | VLLM | VSCode
Education
N/A
Roles
AI | AI Engineer | AI Engineer Intern | Engineer Intern | Intern | Software Engineer | Software Engineer Intern
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