Principal AI Email App Architect & Tech Lead

Bjak

Indonesia

On-site

IDR 1,200,000,000 - 2,100,000,000

Full time

5 days ago
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Job summary

Bjak is seeking a Principal Software Engineer for its AI Email App, responsible for shaping the architecture across backend services, APIs, and client applications while mentoring a small team of senior engineers. This hands-on leadership role emphasizes rapid delivery, production readiness, and strong collaboration with ML leadership.

This role requires building reliable AI-powered workflows, designing robust APIs, and balancing latency, cost, security, and user experience to scale with the

Qualifications

  • Significant experience leading application or product engineering for complex systems.
  • Hands-on background building production-ready backend systems.
  • Experience shipping AI-powered products integrated with ML/LLM capabilities.
  • Strong technical judgment for decisions with incomplete information.
  • Comfort working across backend and client platforms with deep expertise in at least one.
  • Bias toward ownership, shipping, and learning from real-world usage.
  • High standards for code quality, reliability, and fundamentals.

Responsibilities

  • Own the application engineering strategy across backend, mobile, and desktop.
  • Design reliable AI-powered workflows with state management and retries.
  • Build APIs connecting AI systems to real-world products.
  • Lead a small senior engineering team with code & design reviews.
  • Balance latency, cost, security, and user experience.
  • Establish production foundations: observability, testing, and ops.
  • Collaborate with ML leadership to ship robust features.
  • Move quickly while keeping architecture simple and scalable.

Skills

Leadership
Backend systems
Architecture
AI/ML integration
Code reviews

Tools

API design
Observability tools

Job description

Bjak is seeking a Principal Software Engineer for its AI Email App, responsible for shaping the architecture across backend services, APIs, and client applications while mentoring a small team of senior engineers. This hands-on leadership role emphasizes rapid delivery, production readiness, and strong collaboration with ML leadership.

This role requires building reliable AI-powered workflows, designing robust APIs, and balancing latency, cost, security, and user experience to scale with the

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