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Location
Hybrid (London, United Kingdom)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 4, 2026. First seen by Alion on Nov 4, 2026. Bjak scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Bjak is a Malaysian insurance technology company founded in 2015 that operates the largest insurance comparison site in Southeast Asia, letting consumers compare and buy motor and travel cover online. It has extended beyond comparison into insurance distribution technology, claims processing and a broader financial services platform, and it develops much of its own infrastructure in house including document processing and pricing systems. Headquartered in Petaling Jaya near Kuala Lumpur, it operates across Malaysia, Thailand, Taiwan and other regional markets and remains privately held and profitable.

About

We are reimagining the phone. AI phones need to be proactive, intuitive, intelligent and low cost. This is a mission critical for rest of the world to adopt intelligence.

There are over 5 billion people using everyday applications such as email, messaging, notes, tasks, and calendars, yet most are not AI-native. Our mission is to build proactive applications and devices that bring intelligence into daily conversations, coordination and workflows, with minimal prompting.

Focus: Building agent capabilities, context, memory and orchestration.

Responsibilities

  • Implement agent workflows and orchestration.

  • Build integrations with different tools and applications.

  • Develop context retrieval and memory mechanisms.

  • Implement multi-step task execution.

  • Support long-running workflows and state management.

  • Improve agent reliability and execution accuracy.

  • Integrate local and cloud model providers.

  • Build evaluation and regression tests for agent workflows.

Requirements

  • Strong backend or AI application engineering experience.

  • Python, Go or TypeScript.

  • Experience with LLM APIs and tool calling.

  • Experience building AI applications or agent workflows.

  • Strong API and distributed systems knowledge.

  • Good understanding of state management and asynchronous execution.

Nice to have

  • Production agent infrastructure.

  • RAG, memory and context engineering.

  • Model routing and inference optimization.

  • Experience with mobile or operating-system integrations.

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