Full Stack Engineer AI: BJAK

BJAK is looking for a Full Stack Engineer AI to serve as the critical link between AI models and user-facing experiences. This is a remote role for candidates based in Indonesia who will work closely with the Malaysia HQ and other regional teams. You will be responsible for building full-stack applications that incorporate machine learning models, owning the entire development lifecycle from architecture and testing to deployment and monitoring. The role is described as high-impact and high-ownership, where speed and collaboration are essential.

Responsibilities
In this role, you will:

Build and deploy full-stack applications that incorporate ML models.

Collaborate with data scientists and ML engineers to integrate models into scalable backend systems.

Develop APIs, backend services, and real-time data pipelines for intelligent features.

Design clean, performant, and intuitive UIs that surface AI insights to users.

Own the full development lifecycle, including architecture, testing, deployment, and monitoring.

Collaborate with product, design, and engineering teams to ship polished, end-to-end solutions.

Continuously improve the performance, usability, and reliability of AI-integrated applications.

Requirements
Education: Bachelor’s degree in Computer Science, Software Engineering, or a related field.

Experience: 2–4 years of experience in full-stack development (frontend + backend).

Skills: Strong programming skills in Python and JavaScript (Node.js, React, or similar).

ML Integration: Experience integrating ML models into production systems.

Technical Knowledge: Familiarity with REST APIs, cloud deployment, and scalable architecture. Comfortable with SQL/NoSQL databases and distributed systems. Strong grasp of software design patterns, testing, and debugging.

Location: Must be based in Indonesia.

Nice to Have
Experience deploying ML models using tools like FastAPI, Flask, or TensorFlow Serving.

Familiarity with modern frontend stacks like Next.js, Vue, or TypeScript.

Exposure to ML tools like MLflow, Airflow, Docker, GCP, or AWS.

Background in high-growth startups or agile product teams.

Interest in explainable AI, visualizations, or surfacing complex ML outputs to end users.

Benefits
Competitive salary and performance-based bonuses.

Remote-first setup with flexibility to work from anywhere in Indonesia.

High-impact, high-ownership role in a product-led AI company.

Flat organizational structure.

Fast-track growth with real visibility across engineering, data, and product teams.

Regional exposure across Southeast Asia.