LLM Application Engineer

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BJAK

WebsiteLinkedInAll Job Openings

51 - 200 employees

🛍️ eCommerce

🛡️ Insurance

🏪 Marketplace

eCommerce • Insurance • Marketplace

BJAK is a leading online platform in Southeast Asia that offers comprehensive automobile insurance comparison services. The company enables Malaysian users to compare and purchase auto insurance from multiple insurers efficiently, providing considerable savings and convenience. BJAK is renowned for its user-friendly digital platform that allows quick insurance and road tax renewals, offering discounts up to 11%. With a strong emphasis on customer service, BJAK also provides 24/7 roadside assistance, accident support, and replacement vehicles. It is a pioneer in the insurance comparison sector in the region and has facilitated significant savings for millions of car owners.

📋 Description

• 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 turn probabilistic model outputs into predictable, observable, and safe actions • Integrate LLMs with APIs, databases, search, internal services, and external tools • Develop prompting, context engineering, structured outputs, tool-calling, and other techniques to improve model behaviour • Build evaluation frameworks and datasets to measure AI quality, reliability, and regressions • Debug AI systems across the entire stack, from model behaviour and prompts to orchestration, backend services, and product UX • Optimise AI systems for quality, latency, and cost • Work closely 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 • Own problems end-to-end, from understanding user needs through production improvement

🎯 Requirements

• Strong software engineering fundamentals with experience building AI-powered applications • Hands-on experience with LLMs, generative AI, or agent-based systems • Experience designing prompts, workflows, evaluations, or AI behaviour • Ability to write clean, production-quality code • Comfortable working across model, system, and product abstraction layers • Strong problem-solving skills in ambiguous, fast-moving environments • Bias toward shipping, iteration, and continuous improvement • Experience with Python • Experience with LLM APIs and model providers, including OpenAI-compatible APIs and open-weight models • Experience with agent frameworks and orchestration systems • Experience with vector databases and retrieval systems • Experience with backend services, APIs, and distributed systems • Experience with PyTorch or JAX • Professional/fluent English proficiency for technical communication is assessed in the application process