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AI Phone - Agentic Engineer

Role overview

Qualifications

  • Strong backend or AI application engineering experience
  • Python, Go or TypeScript
  • Experience with LLM APIs and tool calling
  • Strong API and distributed systems knowledge

Responsibilities

  • Implement agent workflows and orchestration
  • Build integrations with different tools and applications
  • Develop context retrieval and memory mechanisms
  • Improve agent reliability and execution accuracy

Key facts

Hard skills

About the company

Bjak logo

Bjak

  • Insurance
  • Scaleup
  • 51–200
Bjak is focused on providing access to affordable and sustainable financial services for people in ASEAN. Headquartered in Malaysia, Bjak is the largest insurance portal in Southeast Asia. Our main portal, Bjak.com, helps millions find the insurance policy with the best value and highest coverage for them. Using technology, our team's core strengths are in problem solving and navigating the most complex regulations and environments, creating some of the most innovative products in the world. For instance, we are the first platform globally to simplify and offer investment-linked life and health insurance online, coupled with an instant talk-to-agent service. Our investments in technology such as Custom API, blockchain, trading systems and data science is to enable easy access to financial services, that were previously inaccessible or difficult to understand. If you enjoy building cutting edge platforms and ecosystems to give equal access to financial services for the masses - Speak to us.

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Job description

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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