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 hybrid role based in Malaysia. You will be part of a global engineering organization building AI-powered insurance products used across Southeast Asia and beyond.
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 AI features into real products.
-
Strong understanding of API-based system integration.
-
Ability to evaluate AI outputs critically using data and user feedback.
-
Experience with experimentation, A/B testing, or evaluation frameworks.
-
Strong product sense and focus on user experience.
-
Comfortable working in fast-paced, ambiguous environments.
Outcomes
-
AI features are reliable, consistent, and production-ready across workflows.
-
User-facing AI interactions are intuitive and improve task completion rates.
-
Model outputs are measurable, testable, and continuously improving.
-
AI-driven automation reduces manual work in insurance processes.
-
Product teams can safely deploy AI features with controlled behavior.
Tech Stack
- Python
- Node.js
-
LLM APIs (OpenAI / Anthropic / open-source models)
- Prompt engineering frameworks
- REST APIs
- SQL / NoSQL databases
- Experimentation / analytics tools
-
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
-
Build AI-Powered Products - Work on real-world insurance automation systems.
-
Global Engineering Organization - Collaborate across multiple countries.
-
International Impact - Products used by millions across Southeast Asia.
-
Learning & Development Budget - Support continuous AI and engineering growth.
-
High Ownership Culture - Own AI features end-to-end.
-
Modern Engineering Practices - Focus on real-world reliability and scale.
-
Career Growth - Fast-moving AI product environment.
-
Competitive