1 month ago
Singapore, SingaporeMid Level
Responsibilities
- Build and ship LLM-powered applications and AI agent workflows.
- Design systems for reasoning, planning, memory, tool use, and multi-step execution.
- Build reliable orchestration pipelines that make probabilistic model outputs predictable, observable, and safe.
- Integrate LLMs with APIs, databases, search, internal services, and external tools.
- Develop prompting, context engineering, structured outputs, and tool-calling techniques to improve model behavior.
- Build evaluation frameworks and datasets to measure AI quality, reliability, and regressions.
- Debug AI systems across model behavior, prompts, orchestration, backend services, and product UX.
- Optimize AI systems for quality, latency, and cost.
- Work with product and engineering teams to turn ambiguous product problems into working AI solutions.
- Establish production practices for observability, tracing, experimentation, evaluation, and continuous improvement.
Requirements
- Strong software engineering fundamentals and experience building AI-powered applications.
- Hands-on experience with LLMs, generative AI, or agent-based systems.
- Experience designing prompts, workflows, evaluations, or AI behavior.
- Ability to write clean, production-quality code.
- Comfort working across model, system, and product abstraction layers.
- Strong problem-solving skills in ambiguous, fast-moving environments.
- Bias toward shipping, iteration, and continuous improvement.
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.