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AI & Backend Developer

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Onsite

AI & Backend Developer

Rintisan Teknologi Waralaba

AI & Backend Developer

Skills

Google Cloud PlatformMongoDBDockerNodePythonMicroservicesPostgreSQLMySQLMachine LearningAIAWSKubernetes

2 months ago

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Important information


Contract type:

Permanent

Salary:

IDR 84,000,000 – IDR 120,000,000 / year

Location:

Jakarta, Indonesia

Work mode:

Onsite

Published on:

31 August 2026

What they need


About Rintisan

Rintisan is a technology company building platforms that power business operations, payments, and commerce in Indonesia. Our ecosystem includes solutions for business management, POS systems, and B2B financial platforms. We are expanding our engineering team to build scalable systems and integrate AI-driven features across our platforms.

Key Responsibilities

  • Design, develop, and maintain backend systems and APIs for Rintisan platforms.
  • Build and maintain scalable server-side architecture.
  • Integrate AI models, automation tools, and intelligent features into existing systems.
  • Work with product and frontend teams to deliver reliable backend services.
  • Optimize system performance, security, and scalability.
  • Implement integrations with payment systems, external APIs, and third-party services.
  • Participate in system architecture and technical planning.

Requirements

  • Strong experience in backend development.
  • Proficiency in Node.js, Python, or similar backend frameworks.
  • Experience building and maintaining RESTful APIs and microservices.
  • Familiarity with AI tools, machine learning APIs, or LLM integrations (OpenAI, AI automation tools, etc.).
  • Experience with databases such as PostgreSQL, MySQL, or MongoDB.
  • Understanding of cloud infrastructure and server deployment.
  • Ability to write clean, scalable, and well-documented code.

Preferred Qualifications

  • Experience integrating AI assistants, chatbots, or automation systems.
  • Experience working with fintech, payment systems, or SaaS platforms.
  • Familiar with Docker, Kubernetes, or cloud platforms (AWS, GCP, etc.).
  • Experience building high-traffic or transaction-based systems.

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