The position is for a Full Stack AI Engineer at BJAK, a company focused on transforming financial services in Southeast Asia using AI.
This is a remote role based in China, allowing work from anywhere in the country.
The engineer will bridge machine learning and software engineering, connecting system architecture, model integration, and frontend interactions to deliver valuable AI features to users.
Responsibilities include building and deploying full-stack applications that incorporate machine learning models, collaborating with data scientists and ML engineers, developing APIs and backend services, designing intuitive UIs, and owning the full development lifecycle.
The role is critical as it shapes how millions interact with smart financial services and involves working in a lean, high-impact team.
Requirements:
A Bachelor’s degree in Computer Science, Software Engineering, or a related field is required.
Candidates should have 2 to 4 years of experience in full stack development, covering both frontend and backend.
Proficiency in Python and JavaScript (including Node.js and React or similar frameworks) is necessary.
Experience in integrating machine learning models into production systems is essential.
Familiarity with REST APIs, cloud deployment, and scalable architecture is required.
Candidates should be comfortable working with SQL/NoSQL databases and distributed systems.
A strong understanding of software design patterns, testing, and debugging processes is needed.
The candidate must be based in China and be open to remote collaboration with international teams.
Benefits:
The position offers a competitive salary along with performance-based bonuses.
It provides a remote-first work setup with flexibility to work from anywhere in China.
The role is high-impact and offers significant ownership in a product-led AI company.
The company has a flat structure where ideas are valued and contributions are recognized.
There is a fast-track growth opportunity with visibility across engineering, data, and product teams.
Employees will have regional exposure across Southeast Asia and the chance to influence product development at scale.
