Job description
Translated by FDE Times from the original posting in Chinese.
1. Gain a deep understanding of the customer's business scenarios, quickly build LLM-based model application prototypes and drive them into production, covering the full delivery chain from demo to production; 2. Own model selection, fine-tuning (SFT/Fine-Tuning), inference optimization and related work, ensuring AI capabilities run stably and efficiently in the customer's environment; 3. Design and implement Agent systems and RAG pipelines, and complete end-to-end integration using the customer's data and APIs; 4. Identify reusable model application patterns, turn technical problems on the customer side into product feature requests, and drive the evolution of the Ark/Seed products; 5. Work closely with the customer's engineering team and the internal product and R&D teams to ensure model applications launch successfully and run stably over the long term.
1. Bachelor's degree or above, in computer science, mathematics, statistics or a related field; 2. 5+ years of algorithm R&D experience, with experience in model development or model applications; 3. Familiar with the full LLM development pipeline, including one or more of the following: large model training, inference optimization, fine-tuning (Fine-tuning/SFT), and Agent development; 4. Good communication and collaboration skills, or clear potential, with the ability to work effectively with customers and internal R&D teams.
Bonus Points 1. Hands-on experience deploying complex Agent systems or multi-model collaborative systems in production; 2. Experience delivering AI solutions in vertical industries such as finance, legal and enterprise services.