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Full Stack Engineer, AI systemsBJAK · Singapore
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BJAK

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Full Stack Engineer, AI systems

🗓️ Posted 2026-08-04 Singapore Fulltime Hybrid ICT
💰 Salary Not shared 📊 Market S$8,000–S$14,000/mo

About the Company

BJAK Sdn Bhd (Company No. 201901030483 (1339813-K) Our mission is to develop technology based solutions to improve financial inclusion. We develop new & innovative platforms & services globally. For example, we are the first platform to simplify and digitise comprehensive life and medical insurance, supported by AI agent. BJAK is the largest insurance platform in Southeast Asia. If you enjoy building cutting edge platform-ecosystems that gives equal access to financial services to everyone at scale, join us. Software Development Specialties: fintech

Responsibilities

  • ● There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows, with minimal prompting.
  • ● Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. Our objective is to help users complete tasks daily enjoyable with over 90% reduced time.
  • ● Build end-to-end product features across frontend, backend, and AI integrations
  • ● Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps.
  • ● Integrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions
  • ● Design real-time AI interactions with streaming, partial results, and tight latency constraints
  • ● Improve system reliability, observability, and fallback mechanisms
  • ● Collaborate closely with ML, backend, and product teams to ship features end-to-end
  • ● Continuously iterate based on real usage and failure modes
  • ● IDEAL EXPERIENCES
  • ● Strong experience in full stack engineering (frontend + backend)
  • ● Solid understanding of system design and API architecture
  • ● Ability to handle ambiguity and make pragmatic engineering decisions
  • ● Strong ownership - able to take features from idea to production
  • ● Comfort working in fast-moving environments with evolving requirements
  • ● Own and ship AI-native product features that move beyond chat into persistent, goal-driven workflows
  • ● Design and deploy agent workflows that reliably complete multi-step tasks across tools and sessions
  • ● Reduce latency and improve responsiveness of AI interactions while maintaining output quality
  • ● Build robust fallback and recovery mechanisms for LLM and tool failures in production environments