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