AI Test Automation Engineer — Blockchain & Fintech (Equity)

DK Bank

Kuala Lumpur

On-site

MYR 120,000 - 180,000

Full time

10 days ago
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Benefits offered by this job

Equity potential
Cutting-edge fintech
Crypto ecosystem exposure
Engineering culture
Impactful products

Job summary

DK Bank is building an AI-assisted pipeline to generate UAT test cases from requirements and user stories, with automated regression that re-runs validated scenarios on new builds. The role collaborates with PMO to iterate based on real feedback and to ensure trust and traceability of AI outputs.

You will address data-handling and compliance early, coordinating with security to obtain approvals before exposing any data to LLM-based tooling. This is a build-focused role in a fintech context.

Qualifications

  • Strong software background; build role rather than configuration.
  • Experience integrating with LLM APIs (Claude, OpenAI, or similar) in production or near-production contexts.
  • Comfortable designing for non-determinism with structured output validation, retries, and human-review gates.

Responsibilities

  • Draft UAT test cases from requirements/User stories using an AI-assisted pipeline.
  • Implement regression execution to re-run validated scenarios on new builds.
  • Design outputs so PMs can quickly validate what the AI did and why, with clear sign-off or flags.
  • Collaborate with Product/PMO to align tooling with PM needs and feedback.
  • Flag data-handling and compliance considerations early and obtain security approvals.

Skills

Software engineering
LLM integration
Non-deterministic design

Tools

LLM APIs

Job description

DK Bank is building an AI-assisted pipeline to generate UAT test cases from requirements and user stories, with automated regression that re-runs validated scenarios on new builds. The role collaborates with PMO to iterate based on real feedback and to ensure trust and traceability of AI outputs.

You will address data-handling and compliance early, coordinating with security to obtain approvals before exposing any data to LLM-based tooling. This is a build-focused role in a fintech context.

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