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Full-stack Software Engineer for AI Platform and App Operation

2 weeks ago

hong kong, Hong Kong SAR China ChainOpera AI Full time

ChainOpera AI is the world’s first truly decentralized and open AI platform for simple, scalable, and trustworthy collaborative AI economy, and the AI app ecosystem for accessible and democratized AI - our GPUs, our model, our personal AI.

ChainOpera AI is supported by:

  • Enterprise-level generative AI platform for system scalability, model performance, and security/privacy (ChainOpera AI Platform)

  • Leading open source library in large-scale distributed training, model serving, and federated learning (FedML)

  • Innovative and unique edge-cloud collaborative AI models and systems towards on-device personal AI (Fox LLM)

  • Internet veterans for serving billion-level end users based on cloud computing and mobile internet

  • Established researchers in blockchain, machine learning, and large-scale distributed systems (80000+ citations)

  • Ecosystem partnership with GPU providers, model developers, AI platforms, and AI applications

  • Top-tier investors, angels, and advisors

Responsibilities:

  • Design, develop, and maintain both front-end and back-end components of our AI platform and applications

  • Collaborate with AI researchers and data scientists to implement machine learning models into production systems

  • Optimize application performance and scalability to handle large-scale AI operations

  • Implement robust security measures to protect sensitive data and ensure compliance with industry standards

  • Participate in the full software development lifecycle, from conception to deployment and maintenance

  • Write clean, efficient, and well-documented code

  • Troubleshoot, debug, and upgrade existing software

Requirements:

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field

  • 5+ years of experience in full-stack software development

  • Proficiency in front-end technologies such as React, Angular, or Vue.js

  • Strong back-end development skills using languages like Python, Java, or Node.js

  • Experience with database systems (SQL and NoSQL)

  • Familiarity with cloud platforms (AWS, Google Cloud, or Azure)

  • Understanding of AI and machine learning concepts

  • Experience with RESTful APIs and microservices architecture

  • Knowledge of version control systems (e.g., Git)

Preferred Qualifications:

  • Experience with blockchain technologies and smart contract development

  • Familiarity with AI frameworks such as TensorFlow or PyTorch

  • Knowledge of DevOps practices and tools

  • Experience with containerization technologies (e.g., Docker, Kubernetes)

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