【2027秋招】算法工程师
Tasks
- Build agent harness and evaluation framework
- Build retrieval augmented generation system
- Create skills and tool ecosystem
- Deliver LLM and agent applications
- Deploy and iterate agent solutions
- Design agent architecture
- Document reusable agent infrastructure and best practices
- Evaluate suitability for business scenarios
- Implement context engineering
- Implement prompt engineering
- Optimize RAG output quality
- Track model and agent technology progress
Perks/Benefits
- N/A
Skills/Tech-stack
Agent Harness | Agent architecture | Agent collaboration | Asynchronous programming | Caching | Concurrency | Context engineering | DPO | Distributed Systems | Distributed Training | Docker | Fine Tuning | Function Calling | Git | LLM Evaluation | LLM Fine-tuning | Linux | Machine Learning | Memory | Message queuing | Multi-Agent | Multi-agent collaboration | NoSQL | Planning | Prompt engineering | Python | RAG | RESTful API | RLHF | Retrieval-Augmented Generation | SFT | SQL | Tool use
Education
Roles
AI | AI Engineer | Engineer | LLM Engineer | Learning Engineer | Machine Learning Engineer
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