AI Test Automation Developer

DK Bank; Kuala Lumpur; On-site; MYR 120,000 - 180,000; Full time

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

Key Responsibilities

• Design and build an AI-assisted pipeline that drafts UAT test cases from requirements/user stories (e.g., from Jira/Confluence).
• Build regression execution on top of the same pipeline so previously validated UAT scenarios can be re-run automatically against new builds.
• Design output and reporting so a non-technical reviewer (a PM) can quickly validate what the AI did and why, and confidently sign off — or reject and flag what's wrong.
• Work with our Product/PMO partner to understand what PMs actually need to trust and use this tooling, and iterate the pipeline against real feedback rather than in isolation.
• Flag data-handling and compliance considerations early - what test data or environment access is appropriate to expose to an LLM-based tool, and work with security/compliance to get the right approvals before going near real or sensitive data.

Requirements

• Strong software background - this is a build role, not a power-user/configuration role.
• Experience integrating with LLM APIs (Claude, OpenAI, or similar) in a production or near-production context.
• Comfortable designing for non-determinism - structured output validation, retries, human-review gates - rather than treating LLM output as ground truth.

What We Offer

• Competitive compensation package, including potential equity participation
• Opportunity to work on cutting-edge blockchain and fintech products backed by a sovereign-funded company
• Exposure to leading technologies and top players in the crypto ecosystem
• Fast-moving, collaborative, and engineering-driven culture
• A dynamic team passionate about building impactful products at scale