Applied AI Engineer
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
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Build AI-powered product features integrated into real insurance workflows.
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Design and optimize LLM-based interactions across customer and internal systems.
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Develop prompts, reasoning flows, and structured AI outputs for production use cases.
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Evaluate model performance using real-world data, feedback loops, and experiments.
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Improve reliability of AI outputs through guardrails, fallback logic, and validation layers.
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Work closely with backend engineers to integrate AI capabilities into APIs and workflows.
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Design and implement AI-driven automation features (chat, recommendations, decision support).
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Analyze user behavior and model responses to continuously improve AI performance.
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Collaborate with product, design, and engineering teams to ship end-to-end AI features.
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Contribute to AI system design decisions focused on usability and real-world impact.
Ideal Experience
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Strong software engineering background in production environments.
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Experience working with LLMs (OpenAI, Anthropic, or open-source models).
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Familiarity with prompt engineering, structured outputs, and tool use patterns.
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Experience building or integrating AI features into real products.
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Strong understanding of API-based system integration.
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Ability to evaluate AI outputs critically using data and user feedback.
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Experience with experimentation, A/B testing, or evaluation frameworks.
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Strong product sense and focus on user experience.
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Comfortable working in fast-paced, globally distributed teams.
Outcomes
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AI features are reliable, consistent, and production-ready across workflows.
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User-facing AI interactions are intuitive and improve task completion rates.
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Model outputs are measurable, testable, and continuously improving.
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AI-driven automation reduces manual work in insurance processes.
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Product teams can safely deploy AI features with controlled behavior.
Tech Stack
- Python
- Node.js
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LLM APIs (OpenAI / Anthropic / open-source models)
- Prompt engineering frameworks
- REST APIs
- SQL / NoSQL databases
- Experimentation / analytics tools
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Optional: vector databases (Pinecone, Weaviate, etc.)
How We Work
We believe strong products are built by small, high-ownership teams. Engineers at BJAK work closely with product, design, backend, and AI teams to solve meaningful real-world insurance problems. We value technical excellence, speed of execution, and practical decision-making.
Applied AI Engineers are expected to take ownership of AI behavior inside products—not just model usage, but how users experience AI in real workflows.
Why Join BJAK
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Build AI-Powered Products - Work on real-world insurance automation systems.
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Global Engineering Organization - Collaborate across multiple countries.
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International Impact - Products used by millions across Southeast Asia and beyond.
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Learning & Development Budget - Support continuous AI and engineering growth.
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High Ownership Culture - Own AI features end-to-end.
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Modern Engineering Practices - Focus on real-world reliability and scale.
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Career Growth - Fast-moving AI product environment.
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Competiti