
Large Language Model Optimization Specialist
1 week ago
Job Description
- We are seeking a highly skilled engineer to develop and optimize large language models for reliable function calls and external tool usage.
Key Responsibilities:
- Advanced post-training of large language models (e.g., SFT, RLHF/RLAIF, continual pretraining)
- Aligning models for reliable function calls and external tool usage
- Design, deploy, and operate Model Context Protocol (MCP) servers that handle checkpoint routing, manage context windows, and enforce safety gates
- Experience in distributed training and inference with DeepSpeed/FSDP, LoRA/QLoRA, mixed precision, and performance tuning on vLLM or Triton clusters
Qualifications:
- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- 3+ years of experience in developing and optimizing large language models
- Proven track record in implementing advanced post-training techniques (SFT, RLHF, RLAIF, continual pretraining)
- Familiarity with model alignment, function calls, and external tool integration
- Experience in building and maintaining evaluation pipelines for model performance assessment
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