Full Stack AI Engineer

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BJAK

πŸ“Remote - China

Summary

Join BJAK, a leading digital insurance platform in Southeast Asia, as a Full Stack AI Engineer and help reinvent financial services using AI. Based remotely in China, you will bridge machine learning and software engineering, building intelligent systems that scale. You will integrate ML models into scalable backend systems, develop APIs and UIs, and own the full development lifecycle. This role requires collaboration with cross-functional teams and offers high impact and ownership. The ideal candidate is results-oriented, thrives in ambiguity, and possesses a strong work ethic. BJAK offers competitive compensation, remote work flexibility, and opportunities for professional growth.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or related field
  • 2 - 4 years of experience in full stack development (frontend + backend)
  • Strong programming skills in Python and JavaScript (Node.js, React, or similar)
  • Experience integrating ML models into production systems
  • Familiarity with REST APIs, cloud deployment, and scalable architecture
  • Comfortable working with SQL/NoSQL databases and distributed systems
  • Strong grasp of software design patterns, testing, and debugging
  • Must be based in China and open to remote collaboration with international teams

Responsibilities

  • Build and deploy full-stack applications that incorporate ML models
  • Work 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 - from architecture and testing to 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

Preferred Qualifications

  • 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 China
  • High-impact, high-ownership role in a product-led AI company
  • Flat structure - your ideas are valued, and your code is seen
  • Fast-track growth with real visibility across engineering, data, and product
  • Regional exposure across Southeast Asia and the chance to shape products at scale

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