大模型算法工程师（代码质量方向）-Dev Infra
Core
Optimizing large language models for AI coding scenarios to improve code correctness, requirement alignment, and maintainability.
Role type
Senior IC large model algorithm engineer (AI coding)
Builds
AI coding assistants with enhanced reasoning, agent capabilities, and long-context understanding
Domain
Artificial Intelligence / Software Engineering
Deliverable
production ML models
Required skills
Transformer architecture, large language model training and inference, PyTorch, post-training techniques (SFT, DPO, RLHF, RFT), feedback learning systems, data pipeline construction
Preferred skills
Reasoning and agent technologies, long context handling, memory mechanisms, software engineering intelligence
Responsibilities
Research and implement frontier technologies like Reasoning and Agent for complex software engineering scenarios; Build knowledge understanding systems for requirements, business logic, and historical code; Construct training data and feedback learning loops based on developer input; Apply post-training techniques to optimize model performance in code quality contexts
