LLM Algorithm Engineer

Overview

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Responsibilities

• Advanced post-training of large language models (e.g. SFT, RLHF/RLAIF, continual pretraining)
• Aligning models for reliable JSON-schema 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
• Build offline and live eval pipelines for alignment, factuality, grounding, and hallucinations

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 im...