drjobs AI Application Engineer

AI Application Engineer

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1 Vacancy
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Job Location drjobs

Shanghai - China

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

APO BPR team is seeking a dedicated individual who is passionate about designing implementing and optimizing analytical solutions that deliver tangible measurable impact within APO. As an AI application Engineer you will collaborate closely with data scientists business analysts and the development team to translate cutting-edge AI technologies into real-world applications. From understanding business requirements to deploying scalable and reliable AI solutions you will play a key role in integrating AI into practical use cases.


  • - Bachelors degree in Computer Science Engineering or related field with a minimum of 5 years of relevant industry experience in AI application development machine learning or software engineering
  • - Strong understanding of generative AI models(e.g. LLMs such as GPT BERT) and their application in real-world solutions such as chatbots NLP applications and content generation
  • - Excellent software engineering skills with expertise in modular object-oriented design and familiarity with industry-standard development processes. Proficiency in Python PHP Java Git preferred.
  • - Comfort with ambiguity with the ability to structure complex analysis and drive insights through data exploration and strategy research.


  • - 3 years of hands-on experience developing multi-agent systems or agent-based modeling with experience in frameworks like MAS platforms NetLogo or AnyLogic
  • - Proven experience in multi-agent coordination platforms (MCP) or related frameworks
  • - Hands-on experience with cloud platforms such as AWS Azure GCP with expertise in deploying and managing scalable AI Platform.
  • - Extensive knowledge and hands-on experience with popular LLMs such as Gemini Claude and GPT including the ability to fine-tune and optimize these models for specific use cases.
  • - Solid understanding of popular AI/ML frameworks(e.g. TensorFlow PyTorch scikit-learn) and experience with MCP tools for multi-agent coordination and AI system integration
  • - Curious self-motivated and able to drive improvements to model evaluation pipelines and annotation programs.
  • - Eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
  • - Outstanding communication skills both written and verbal with experience presenting to leadership.

Employment Type

Full-Time

Company Industry

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