AI Validation Engineer (Magna)
Indexed description
Overview
At Magna, backed by Trend Micro and Wistron, we are building enterprise AI platforms that move fast.
In the AI era, software is no longer developed feature by feature. New capabilities can be generated, integrated, and deployed at an unprecedented speed. As development accelerates, ensuring quality becomes more important than ever.
We are looking for an AI Validation Engineer who can redefine how quality is maintained in modern AI-powered systems.
This is not a traditional QA role. We are looking for someone who thinks beyond test cases and manual verification. You will work closely with Product Managers, Engineers, and customers to identify risks early, validate complex integrations, and help the team deliver with confidence.
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What You’ll Do
Participate in product discussions early and identify integration risks before implementation begins.
Ensure complete workflows function correctly across frontend, backend, APIs, agents, and external services.
Design scalable validation approaches for rapidly evolving AI-powered products.
Use AI tools to improve testing efficiency, increase coverage, and automate repetitive validation work.
Test and evaluate agent systems, RAG pipelines, orchestration flows, and AI-generated outputs.
Help the team ship faster while maintaining reliability and product quality.
Work closely with Engineering, Product, Customer Success, and Field teams to ensure a smooth user experience.
Core Qualifications
Who We’re Looking For
- Bachelor’s degree or higher in Computer Science or related fields.
- Strong English communication skills.
- Ability to understand both technical implementation and business requirements.
- Strong analytical and problem-solving skills.
- Passion for quality, automation, and system thinking.
- Experience in software testing, system integration, quality engineering, SRE, DevOps, or related fields.
- Experience validating APIs, distributed systems, SaaS platforms, or cloud services.
- Basic programming capability in Python, JavaScript, or similar languages.
- Understanding of automation frameworks and CI/CD processes.
- Ability to investigate complex issues across multiple system layers.
- Experience with AI-assisted development tools.
- Experience working with LLM applications, RAG systems, AI Agents, or orchestration frameworks.
- Experience building automated testing frameworks.
- Knowledge of observability, monitoring, and system reliability practices.
- Experience in enterprise software or cybersecurity products.
- Work at the intersection of AI, software engineering, and product quality
- Build validation approaches for next-generation AI platforms
- Collaborate with global teams and enterprise customers
- Leverage the latest AI tools to improve engineering productivity
- Help shape how modern AI products are delivered at scale
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連結智慧 守護世界 --- Connected Intelligence for Securing a Connected World
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