Algorithm Engineer
1 week ago
Participate in the development and optimization of intelligent Agent systems, including:
Task planning, tool invocation, and search enhancement
Improving core LLM-Agent capabilities
Debugging Agent workflows, analyzing errors, and optimizing performance
Supporting data pipelines and evaluation frameworks to improve real-world model performance
Collaborating with product and engineering teams to rapidly iterate and validate Agent deployment
Requirements:
Background in Computer Science, Artificial Intelligence, Software Engineering, or related fields
Proficiency in Python with solid coding skills and engineering practices
Familiarity with one or more LLM integration frameworks or APIs (e.g., OpenAI, Claude, DeepSeek, LangChain, Llama)
Experience in building LLM applications (e.g., Agents, RAG, tool calling, etc.)
Strong problem-solving and debugging skills, with ability to quickly identify and resolve issues
6.Strong sense of responsibility, self-motivation, and ability to learn quickl
Preferred Qualifications:
Experience with LLM-Agent frameworks (e.g., ReAct, Toolformer, AutoGen, AgentQL, LangGraph)
Experience in model evaluation, data pipeline construction, and prompt engineering
Experience in multi-model orchestration or concurrent system development
Practical experience in applying AI solutions to real business scenarios (e.g., recommendation systems, content moderation, marketing automation, customer support bots, data analysis)
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