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Product Engineer, AI Email AppBJAK · United Kingdom
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BJAK

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Product Engineer, AI Email App

🗓️ Posted 2026-08-27 United Kingdom Fulltime Hybrid ICT
💰 Salary Not shared 📊 Market 4,500 GBP–8,000 GBP/mo

About the Company

BJAK Sdn Bhd (Company No. 201901030483 (1339813-K) Our mission is to develop technology based solutions to improve financial inclusion. We develop new & innovative platforms & services globally. For example, we are the first platform to simplify and digitise comprehensive life and medical insurance, supported by AI agent. BJAK is the largest insurance platform in Southeast Asia. If you enjoy building cutting edge platform-ecosystems that gives equal access to financial services to everyone at scale, join us. Software Development Specialties: fintech

About the Role

There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting. Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. We believe products will greatly reduce hallucinations. Our objective is to organise anyone's life, allowing us all to spend time on valuable and meaningful things. As Product Engineer, AI Email App, you work at the intersection of user needs, model capability, and engineering constraints. You will work directly with ML and engineering teams to define how the system should behave, how we measure it, and how we continuously improve it. This is a deeply technical, hands-on role. You are expected to understand the system and challenge technical decisions.

Responsibilities

  • ● Define end-to-end requirements for AI capabilities, from model behavior to system behavior to user experience.
  • ● Translate model capabilities, evaluation results, and technical constraints into clear product and system decisions.
  • ● Make trade-offs across quality, latency, cost, reliability, safety, and UX.
  • ● Work closely with ML, backend, and client engineers on system design, evaluation, and iteration.
  • ● Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback.
  • ● Establish clear quality bars and feedback loops for AI-powered experiences.
  • ● Drive execution through clear specifications, prioritization, and strong technical judgment.
  • ● Identify failure modes and ensure AI systems behave predictably and recover gracefully.
  • ● Own product quality end-to-end, correctness, reliability, usefulness, and user trust.

Requirements

  • ● Strong computer science fundamentals and system design skills.
  • ● Solid understanding of modern ML and how AI systems behave in production.
  • ● Comfortable reading technical designs, understanding architectures, and engaging deeply with engineers.
  • ● Strong intuition for model limitations, hallucinations, evaluation, and failure modes.
  • ● Significant experience owning complex, technical products end-to-end.
  • ● Hands-on experience with AI-powered products, particularly LLM-based systems.
  • ● Experience with model evaluation, experimentation, prompting, or AI system iteration.
  • ● Ability to turn ambiguous problems into clear requirements, measurable outcomes, and executable plans.
  • ● Strong judgment and the ability to make decisions when the right answer is not obvious.
  • ● Highly technical, curious, and comfortable going deep.
  • ● Strong bias toward shipping, experimentation, and learning from real-world usage.
  • ● Able to challenge engineers and researchers constructively while maintaining strong collaboration.
  • ● Comfortable operating with significant ownership in a fast-moving, zero-to-one environment.