Applied AI Engineer

Company: BJAK

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-06-28

About this role

BJAK is Southeast Asia's largest digital insurance platform, building AI-powered products that simplify insurance and financial services for millions of users. We use AI and automation to transform real-world insurance workflows such as quotations, policy issuance, endorsements, claims, and customer operations.


We are looking for an Applied AI Engineer to design, build, and optimize AI-powered features that sit directly inside our product workflows. This role focuses on turning model capabilities into real product behavior - where AI interacts with users, supports decision-making, and powers automation across insurance journeys.


This is a fully remote role where you will be part of a global engineering team working across multiple countries to build reliable, scalable AI-powered systems.


**Focus**

  • Build AI-powered product features integrated into real insurance workflows.
  • Design and optimize LLM-based interactions across customer and internal systems.
  • Develop prompts, reasoning flows, and structured AI outputs for production use cases.
  • Evaluate model performance using real-world data, feedback loops, and experiments.
  • Improve reliability of AI outputs through guardrails, fallback logic, and validation layers.
  • Work closely with backend engineers to integrate AI capabilities into APIs and workflows.
  • Design and implement AI-driven automation features (chat, recommendations, decision support).
  • Analyze user behavior and model responses to continuously improve AI performance.
  • Collaborate with product, design, and engineering teams to ship end-to-end AI features.
  • Contribute to AI system design decisions focused on usability and real-world impact.

**Ideal Experience**

  • Strong software engineering background in production environments.
  • Experience working with LLMs (OpenAI, Anthropic, or open-source models).
  • Familiarity with prompt engineering, structured outputs, and tool use patterns.
  • Experience building or integrating ...

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