We are hiring for one of our ecosystem projects, an innovative AI and Web3 company building an Ethereum Layer 2 solution integrated with advanced AI agents. As the first engineer dedicated to this initiative, you will play a pivotal role in its development, with potential opportunities to build and lead a team in the future.
Key Responsibilities
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Design and implement AI platforms, encompassing both front-end interfaces and back-end services.
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Collaborate with other developers and AI engineers on data preprocessing, model training, and optimization.
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Deploy AI models into production environments, ensuring performance, scalability, and reliability.
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Develop and maintain data processing pipelines to ensure data quality and consistency.
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Stay updated on AI technology trends, advocating for the integration of new technologies into our products.
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Contribute to other projects based on the company’s product development progress
Requirements
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Bachelor’s degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or a related field.
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5 years of full-stack development experience, proficient in both front-end and back-end technologies.
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Expertise in front-end and back-end technologies (especially Golang)
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Eager to explore and could use new technologies related to AI that help improve working efficiency
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Strong curiosity and willingness to explore new product directions, identify potential AI applications, and contribute to product innovation.
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Familiarity with Web3, blockchain, and the crypto industry, with insights into different product models and a personal perspective on industry trends and innovations.
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Excellent communication skills and a collaborative team spirit, with the ability to independently solve problems and take initiative.
Preferred Qualifications
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Knowledge in data processing and analysis will be a plus, with knowledge of SQL and NoSQL databases such as MySQL, PostgreSQL, or MongoDB.
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Experience in deploying and optimizing AI agent
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Experience contributing to open-source projects
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Build high-performance APIs and microservices to support large-scale Web3 application
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Familiarity with large-scale data processing technologies such as Hadoop or Spark.