AI Engineer
Salary: $7,000 – $10,000 per month
About the role
This role involves developing core AI Agent capabilities and designing agentic workflows to support advanced AI systems.
Key responsibilities
Develop core AI Agent capabilities, including task planning, task decomposition, tool invocation, memory system, state management, and result verification
Design and implement Agentic Workflows, such as scheduled tasks, automated task execution, periodic report generation, automated information retrieval, and automated summarization
Participate in the construction of multi-Agent systems, including the collaboration of roles such as Planner Agent, Executor Agent, Reviewer Agent, and Memory Agent
Support the development of multiple clone applications, such as multiple digital clones running in parallel, maintaining different contexts, and executing different tasks
Integrate with large model APIs, local models, RAG knowledge bases, and business systems to improve Agent task completion rate and stability
Design Agent operation logs, task tracking, failure retry, manual review, and security control mechanisms
Participate in Agent performance evaluation, including task success rate, illusion rate, response latency, cost, and user satisfaction
Continuously follow up on Agent frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, and CrewAI, and make technology selections based on business scenarios
About you
1-3 years of experience in AI engineering, backend development, NLP, machine learning, or LLM application development
Proficient in Python with strong backend engineering skills
Familiar with at least one Agent or LLM application framework, such as LangChain, LangGraph, LlamaIndex, AutoGen, or CrewAI
Familiar with Prompt Engineering, Function Calling, Tool Calling, RAG, Embedding, and vector databases
Experience with scheduled tasks, asynchronous task queues, automated workflows, and SaaS systems is preferred
Experience with Chinese corpora, Chinese agents, or Chinese business scenarios is preferred