Applied AI Engineer

About this role

About BJAK The original mission of BJAK is we believe people deserve smarter ways to plan, save and grow their money. This is the origin of our name.

Started in 2019, we built the first mobile-first, insurance platform, enabling insurance to be accessible online by millions in the region. Today, its the leading insurance platform in Southeast Asia.

Today, we are expanding ways to help people in the region — this includes spending, saving, investing, exchanging, travelling, and more. Our mission is help people get more from their money every day.

We have teams working around the world, with over 20 nationalities from our offices and remotely, who truly enjoys their work. We are looking for the most talented and driven people we can find. We are looking for people who work for their passion, not counting hours. Who loves building great next-generation products, not status quo. Who cares about redefining how everyone around us can get the best financial applications, not for an exclusive few.

If you're this person, we'd love to talk to you.

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, globally distributed teams.

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 and beyond.

- 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 Compensation - Attractive salary package.

- Fully Remote - Work remotely with globally distributed teams.

THE KIND OF BUILDER WE WANT

- Thinks in user workflows, not just model outputs

- Strong intuition for how AI behaves in real production environments

- Obsessed with making AI useful, not just intelligent

- Comfortable working with uncertainty and imperfect models

- Strong attention to edge cases and failure behavior

- Takes ownership of AI feature quality from design to production

- Balances speed with safety and reliability

THIS ROLE IS NOT FOR

- Researchers who only focus on model training without product integration

- Engineers who treat prompts as one-off experiments

- People who ignore user experience and real-world behavior

- Those uncomfortable with ambiguity in AI outputs

- Engineers who cannot evaluate or debug model behavior in production

INTERVIEW PROCESS

If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews.

Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite.

We value transparency and efficiency in our hiring process and aim to make decisions promptly. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to build AI systems that power real-world insurance workflows across global markets.

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