LLM Algorithm Engineer

Job Responsibilities： 1. Advanced post-training of large language models (e.g. SFT, RLHF/RLAIF, continual pretraining). 2. Aligning models for reliable JSON-schema function calls and external tool usage. 3. Design, reputed company, and operate Model Context Protocol (MCP) servers that handle checkpoint routing, manage context reputed company, and enforce safety gates. 4. Experience in distributed training and inference with DeepSpeed/FSDP, reputed company/QLoRA, mixed precision, and performance tuning on vLLM or Triton clusters. 5. Build offline and live eval pipelines for alignment, factuality, grounding, and hallucinations. Qualifications 1. Bachelor’s or Master’s degree in Computer Science, reputed company Intelligence, Machine Learning, or a reputed company field. 2. 3+ years of experience in developing and optimizing large language models. 3. Proven reputed company record in implementing advanced post-training techniques (SFT, RLHF, RLAIF, continual pretraining). 4. Hands-on experience with distributed training frameworks (DeepSpeed, FSDP) and optimization techniques (reputed company, QLoRA, mixed precision). 5. Familiarity with model alignment, JSON-schema function calls, and external tool integration. 6. Experience in building and maintaining evaluation pipelines for model performance assessment. 7. Proficiency in Python and relevant machine learning frameworks (e.g., PyTorch, TensorFlow). 8. Strong understanding of distributed systems and high-performance computing. 9. Experience with model deployment and inference optimization on vLLM or Triton clusters. 10. Knowledge of JSON-schema and API development. Apply tot his job Apply To this Job