Team Alpha has been at the forefront of innovation, and our recent projects exemplify our commitment to bridging the gap between cutting-edge technology and practical workplace needs. Our mission is clear: to leverage Generative AI (Gen AI) to boost productivity and efficiency in professional environments. We’ve concentrated on two key platforms - Alpha Knowledge and Alpha Intelligence - designed to address significant challenges in adopting AI for organizational use.

• Work with and materialize practical product ideas atop the latest technologies, bridging the gap between the forefront of technological advancement and people’s needs.
• Server-side design, development and deployment of the services/systems/platforms used by our products and our users.
• Write high-quality, clean, simple, and maintainable code; build common libraries.
• Analyse requirements, design, and develop functionalities based on product requirements.
• Understand the product thoroughly, constantly optimize the product, identify and fix problems, and improve stability and user experience.
• Design and implement various supporting tools as required.
• Collaborate with other software engineers, product managers, user experience designers, and operations engineers to build the product.

• 2+ years of backend engineering experience in AI related projects.
• Bachelor's degree or higher in Computer Science, Engineering, or related fields.
• In-depth understanding of computer science fundamentals (data structures and algorithms, operating systems, networks, databases, etc.).
• Passionate about the latest innovation and research trends, willing to experiment with unproven, early-stage technologies to solve problems with practical values.
• Familiar with OOP, Restful API design, and relational database design.
• Familiar with Go, Python, or other OOP programming languages.
• Familiar with Linux development environments, docker, and Nginx.
• Experience in web security is preferred.
• Experience in design and development of large-scale distributed systems is preferred.
• Experience in text embedding, prompt engineering and large language model fine-tuning is preferred.