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This position was posted on June 29, 2026 and is likely no longer accepting applications. We've kept it here for historical reference. Check out the similar jobs below!
Job Overview
Location
Indonesia
Job Type
Full-time
Category
Product Marketing Manager
Date Posted
June 29, 2026
Full Job Description
đź“‹ Description
- • Design, build, and optimize AI-powered features integrated directly into insurance workflows including quotations, policy issuance, endorsements, claims, and customer operations.
- • Develop and refine LLM-based interactions for both customer-facing and internal systems, ensuring AI outputs are structured, reliable, and production-ready.
- • Engineer prompts, reasoning flows, and validation layers to improve consistency and safety of AI behavior in real-world use cases.
- • Evaluate model performance using real-world data, user feedback, and experimentation frameworks to drive continuous improvement of AI features.
- • Implement guardrails, fallback logic, and validation mechanisms to reduce errors and ensure predictable AI behavior under edge cases.
- • Collaborate with backend engineers to integrate AI capabilities into REST APIs and existing product workflows.
- • Design and deploy AI-driven automation features such as chat interfaces, recommendation engines, and decision-support tools within insurance systems.
- • Analyze user behavior and model response patterns to identify performance bottlenecks and opportunities for enhancement.
- • Work closely with product, design, and engineering teams to ship end-to-end AI features from concept to production.
- • Contribute to system-level AI design decisions focused on usability, scalability, and measurable real-world impact.
- • Ensure AI features are testable, measurable, and continuously improved through A/B testing and analytics-driven iteration.
- • Maintain high standards of reliability and safety in AI deployments, prioritizing user experience over model complexity.
- • Own the full lifecycle of AI features—from initial prototyping to production monitoring and iterative refinement.
- • Operate within a globally distributed engineering team, coordinating across time zones to deliver scalable AI solutions for millions of users across Southeast Asia and beyond.
- • Apply modern engineering practices to balance speed of delivery with system reliability, focusing on practical outcomes over theoretical performance.
- • Use Python and Node.js to develop and deploy AI integrations, leveraging LLM APIs (OpenAI, Anthropic, or open-source models) and prompt engineering frameworks.
- • Work with SQL and NoSQL databases to access and analyze user and model data for performance evaluation and feature optimization.
- • Utilize experimentation and analytics tools to measure the impact of AI features on task completion rates, user satisfaction, and operational efficiency.
- • Optionally leverage vector databases (Pinecone, Weaviate, etc.) for retrieval-augmented generation and contextual AI interactions.
🎯 Requirements
- • 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
🏖️ Benefits
- • Learning & Development Budget
- • Fully Remote
- • Competitive Compensation
- • High Ownership Culture
- • Global Engineering Organization
- • Career Growth in a fast-moving AI product environment
- • selected_category": "Applied AI Engineer",
- • "parent_category": "Engineering",
- • "confidence": 0.98,
- • "reasoning": "The job title is explicitly 'Applied AI Engineer' and the description focuses on integrating LLMs into production workflows, not research or model training. The role requires software engineering skills, API integration, and product-focused AI deployment, aligning precisely with the Engineering category and the specific child role of Applied AI Engineer as defined by the title and responsibilities.",
- • "city": "Seoul",
- • "region": "Korea",
- • "country_code": "KR",
- • "is_remote": true
- • }
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Bjak Sdn. Bhd.
Bjak operates Malaysia’s largest digital auto-insurance marketplace, enabling instant price comparison and online purchase of motor coverage from leading insurers. The platform uses proprietary technology to simplify complex tariffs, deliver personalised quotes and e-policy issuance within minutes, eliminating paperwork and agent visits. Licensed by Bank Negara Malaysia, Bjak also offers road-tax renewal, accident assistance and claims support, serving millions of drivers nationwide while partnering with insurers to increase digital distribution efficiency and customer reach.
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