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AI Engineering Expert

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Onsite

AI Engineering Expert

广州胡巴科技有限公司

AI Engineering Expert

Skills

DockerPythonPostgreSQLMySQLAILinuxNo-code ApplicationsFastAPI

4 months ago

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Important information


Contract type:

Permanent

Location:

Wuhan, Hubei, China

Work mode:

Onsite

Published on:

7 August 2026

What they need


该职位来源于猎聘 Job Summary We are seeking an AI Engineer to build and optimize enterprise-grade LLM applications, including RAG systems, AI Agent orchestration, content safety, model evaluation, and backend AI services. You will deliver stable, scalable AI solutions to empower business scenarios. Key Responsibilities

  • Evaluate large model performance (accuracy, precision, recall) and build evaluation & trustworthy measurement systems.
  • Design and implement domain-specific RAG systems to enhance model accuracy and reliability.
  • Build an end-to-end AI Agent Orchestration Platform and develop low-code workflows.
  • Develop LLM applications using LangChain/LangGraph for RAG, Agents, and tool usage.
  • Optimize prompts, pipelines, and multi-Agent collaboration logic to improve system controllability and performance.
  • Develop high-performance backend APIs with FastAPI, ensure service stability, monitoring, and CI/CD deployment.
  • Collaborate with cross-functional teams to deliver technical solutions and drive AI capability. Required Qualifications
  • Bachelor’s degree or above in Computer Science, AI, or related field.
  • 5+ years of Python backend development experience.
  • Proficient in FastAPI, RESTful API, asynchronous programming.
  • Solid experience with LangChain; familiarity with RAG, Agent, Chain, Memory.
  • Experience with LangGraph for workflow orchestration is a strong plus.
  • Familiar with mainstream LLM APIs and vector databases (Milvus, Chroma, etc.).
  • Knowledge of Git, Docker, Linux, MySQL/PostgreSQL, cloud services.
  • Experience in AI Agents, intelligent Q&A, Ragas or enterprise AI systems is a plus.
  • Good problem-solving, communication, and teamwork skills.

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