LLM Algorithm Engineer

This LLM Algorithm Engineer role involves advanced post-training of large language models, aligning models for function calls, designing and operating Model Context Protocol (MCP) servers, and building evaluation pipelines. The position requires experience with distributed training, inference optimization, and model deployment.

Requirements

• 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).
• Hands-on experience with distributed training frameworks (DeepSpeed, FSDP) and optimization techniques (LoRA, QLoRA, mixed precision).
• Familiarity with model alignment, JSON-schema function calls, and external tool integration.
• Experience in building and maintaining evaluation pipelines for model performance assessment.
• Proficiency in Python and relevant machine learning frameworks (e.g., PyTorch, TensorFlow).
• Strong understanding of distributed systems and high-performance computing.
• Experience with model deployment and inference optimization on vLLM or Triton clusters.
• Knowledge of JSON-schema and API development.