Full-stack Software Engineer for AI Platform and App Operation

3 weeks ago


Central And Western District, 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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