Full Stack Engineer (Crypto x AI) - SF Onsite

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

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.

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.

Preferred Qualifications

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.