LLM Application Engineer

Bjak Sdn. Bhd.

Job Overview

Location

United Kingdom

Job Type

Full-time

Full Job Description

📋 Description

• As an LLM Application Engineer, you will build the intelligence layer that powers A1's AI experiences.
• You will work at the intersection of LLMs, software engineering, and product - designing agent workflows, improving model behaviour, and turning AI capabilities into reliable user experiences.
• You will own problems end-to-end, from understanding user needs, designing Agentic workflows, integrating models and tools, building evaluation system and continuously improving AI behaviour in production.
• 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

🎯 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 abstraction layers (model → system → product)
• Strong problem-solving skills in ambiguous, fast-moving environments
• Bias toward shipping, iteration, and continuous improvement

🏖️ Benefits

• AI features reach production quickly and deliver measurable user impact
• LLM-powered workflows are reliable, scalable, observable, and maintainable
• AI quality improves through systematic evaluation, experimentation, and iteration
• AI workflows become increasingly predictable, efficient, and cost-effective
• Complex AI capabilities are translated into simple, intuitive user experiences

Skills & Technologies

Python

PyTorch

Onsite

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Bjak Sdn. Bhd.

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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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