Remote Full Stack AI Engineer (Remote)

Description:

• The Full Stack AI Engineer position at BJAK is a remote role based in the United States, allowing work from anywhere in the country.
• The role involves building intelligent systems that integrate machine learning and software engineering to deliver AI-powered features to users.
• The engineer will work closely with teams in Malaysia and across the region, operating across the entire stack from backend logic and ML integration to frontend delivery.
• This position is crucial as it links AI models with user-facing experiences, shaping how millions interact with financial services.
• Responsibilities include building and deploying full-stack applications, integrating ML models into scalable backend systems, developing APIs and real-time data pipelines, designing user interfaces, and collaborating with various teams to deliver polished solutions.

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.
• Strong programming skills in Python and JavaScript (Node.js, React, or similar) are necessary.
• Experience in integrating ML models into production systems is essential.
• Familiarity with REST APIs, cloud deployment, and scalable architecture is required.
• Candidates must be comfortable working with SQL/NoSQL databases and distributed systems.
• A strong grasp of software design patterns, testing, and debugging is needed.
• Applicants must be based in the US and open to remote collaboration with international teams.

Benefits:

• The position offers a competitive salary along with performance-based bonuses.
• It features a remote-first setup, providing flexibility to work from anywhere in the US.
• The role is high-impact and high-ownership within a product-led AI company.
• BJAK has a flat structure where ideas are valued, and contributions are recognized.
• Employees can expect fast-track growth with visibility across engineering, data, and product teams.
• There is regional exposure across Southeast Asia, providing opportunities to shape products at scale.