Algorithm Engineer-Software Generation

Responsibilities

Responsible for LLM Application and implementation in the field of software generation, including but not limited to LLM/GPT, LangChain, knowledge graph, graph neural network, reinforcement learning and other technologies, explore the combination of software generation and domain models, and realize application implementation in business. 1. Explore the application of LLM technology in software generation, be responsible for algorithm model development, build a framework for LLM applications, and participate in the construction of products in the field of software development and software generation 2. Participate in the entire process of domain model work, including but not limited to data , training, evaluation, and inference deployment to ensure the high quality and effectiveness of data 3. Explore the application of Agent in complex tasks and implement the application of complex tasks based on LLM in scenarios in the field of software generation 4. Continue to follow up on the frontiers of LLM Technology, open source solutions and their applications in software generation.

Qualifications

1. Master degree or above, computer, software engineering, artificial intelligence, pattern recognition and other related majors 2. Master the LLM model Algorithm principles, Fine-tuning, Prompt Engineering, vector database and LangChain and other application paradigms in the field of LLM, priority will be given to those who lead projects or papers with great influence 3. Have experience in the field of AI software generation and the application of LLM to solve software generation problems Strong interest and technical enthusiasm 4. Good communication and collaboration skills, able to explore new technologies and promote technological progress with the team.