Job Overview
Location
Seoul, Korea
Job Type
Full-time
Category
Software Engineering
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Build and ship AI features end-to-end, from model behavior design to system implementation and user experience delivery.
- • Design and iterate on prompts, tools, memory systems, and agent workflows to enable reliable, multi-step reasoning in real-world applications.
- • Transform raw large language model outputs into structured, predictable, and actionable behaviors for everyday user tasks.
- • Debug production issues across the full stack including model inference, orchestration logic, infrastructure, and user interface components.
- • Optimize AI systems for latency, cost efficiency, and operational reliability under non-deterministic model behavior.
- • Develop lightweight evaluation frameworks to measure real-world performance and drive iterative improvements based on user data.
- • Collaborate closely with product and engineering teams to translate ambiguous, high-level problems into concrete, working systems.
- • Maintain robust, reproducible, and maintainable data pipelines, training loops, and inference systems in production.
- • Ensure ML models in production meet defined targets for accuracy, latency, and reliability under real-world usage conditions.
- • Identify, diagnose, and resolve production issues quickly with effective root cause analysis and corrective actions.
- • Work with LLMs via OpenAI-style APIs and open models such as LLaMA and Qwen in production environments.
- • Utilize inference and serving technologies like vLLM to deploy and scale AI models efficiently.
- • Apply Python, PyTorch, and/or JAX to implement, fine-tune, and deploy neural network architectures.
- • Integrate vector databases to support persistent context and long-running workflows.
- • Drive continuous improvement through bias toward shipping, iteration, and measurable outcomes.
- • Operate independently with structure and judgment in a fast-moving, small-team environment focused on building a magical AI product.
- • Contribute to collective decision-making while executing with autonomy on high-impact AI features.
- • Deliver AI-powered features that move beyond demos to provide practical, reliable benefits to everyday users.
🎯 Requirements
- • Strong foundation in machine learning and modern neural network architectures
- • Hands-on experience with training, fine-tuning, or deploying ML models
- • Ability to write clean, production-quality code
- • Comfort working across abstraction layers (model → infra → product)
- • Strong problem-solving skills in ambiguous, fast-moving environments
- • Bias toward shipping, iteration, and continuous improvement
🏖️ Benefits
- • Opportunity to build a truly magical AI product used by billions globally
- • Work in a small, world-class team with collective decision-making and rapid execution
- • Transparent and efficient interview process with prompt decisions
- • Virtual and/or onsite interview options
- • Direct collaboration with engineers, product, and research teams
- • High autonomy and ownership over end-to-end AI feature development
Skills & Technologies
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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