LLM Application Engineer

Responsibilities

• Fine-tune large language models for real-world AI applications, optimizing post-training methods such as SFT, Reward Modeling (RM), and Reinforcement Learning (RL) for both training efficiency and user experience
• Research and develop automated high-quality data generation techniques, and build efficient online data flywheel pipelines
• Collaborate with engineering teams and clients to explore and deploy innovative LLM applications across domains such as content creation, education, finance, and coding

Qualifications

Education & Background

• Master’s degree or above in Computer Science, Artificial Intelligence, Mathematics, or related fields
• Experience in mathematics or programming competitions is a plus

Experience

• Several years of experience in NLP or deep learning R&D
• At least 1 year of hands‑on experience with LLM applications