5 months ago
Beijing, ChinaSenior
Responsibilities
- Build and ship AI features end-to-end from model to system to user experience.
- Design and iterate on prompts, tools, memory, and agent workflows.
- Convert raw model outputs into structured, reliable, and predictable behaviors.
- Debug issues across models, orchestration, infrastructure, and user experience.
- Optimize AI systems for latency, cost, and production reliability.
- Develop lightweight evaluation frameworks for real-world performance.
- Build robust, reproducible, and maintainable data pipelines, training loops, and inference systems.
- Use production signals and measurable improvements to drive model and system iteration.
Requirements
- Strong foundation in machine learning and modern neural network architectures.
- Hands-on experience training, fine-tuning, or deploying ML models.
- Ability to write clean, production-quality code.
- Comfort working across model, infrastructure, and product abstraction layers.
- Strong problem-solving skills in ambiguous, fast-moving environments.
- Ability to work independently, iterate quickly, and collaborate with engineering, product, and research teams.
Categories
About Bjak
Bjak builds an online insurance marketplace for consumers in Malaysia and Southeast Asia, enabling comparison and purchase of car, health, life, and travel policies. Its business model is aggregator-based, earning commissions and fees from insurers and partners while streamlining digital applications and renewals. Founded in 2019 and headquartered in Selangor, it is privately held and is expanding from insurance comparison into broader fintech services via a planned finance super app.