Staff Software Engineer
Core
Designing, fine-tuning, and optimizing large language models (LLMs) and multi-Agent systems for complex reasoning, tool invocation, and business scenarios.
Role type
Staff Software Engineer (LLM & Agent Systems)
Builds
Production-ready LLM inference pipelines, multi-Agent collaboration frameworks, and core Agent runtime systems.
Domain
Artificial Intelligence / Large Language Models / Multi-Agent Systems
Deliverable
production ML models | product features
Required skills
LLM fine-tuning (SFT, RLHF, PEFT, LoRA), Prompt Engineering, Function Calling, Chain of Thought reasoning, LLM evaluation, Python, deep learning frameworks (PyTorch, TensorFlow), Agent system architecture, multi-Agent collaboration
Preferred skills
CUDA optimization, DevOps (Git, Jenkins), open-source framework integration (LangChain, AutoGPT)
Technologies
PyTorch, TensorFlow, PEFT, LoRA, LangChain, AutoGPT, OpenCWA
Responsibilities
Fine-tune LLMs for domain adaptation; optimize prompt strategies and function calling; build LLM evaluation systems; develop core Agent runtime engines and multi-Agent collaboration mechanisms; integrate open-source frameworks; translate research into production solutions.
Seniority
Staff, hands-on IC with strategic influence
