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Unlock your potential with Dassault Systèmes, a global leader in Scientific Software Engineering, as we are hiring an AI Quality Engineer in Kuala Lumpur, Malaysia! Join us in building a next-generation AI Virtual Companion for Operation Planning & Optimization. Powered by Large Language Models (LLMs) and agentic AI, you'll help create intelligent systems that can reason, retrieve information, and act autonomously. Role Responsibilities & Job Description: Prompt Engineering & Evaluation: Design and execute sophisticated test cases using prompt injection and adversarial testing to evaluate the AI’s boundaries and responses. LLM Benchmarking: Utilize advanced frameworks to measure performance in critical areas like hallucination rates, sentiment consistency, and context retention. Automated Validation: Build and maintain automated pipelines that leverage "LLM-as-a-judge" patterns to evaluate model outputs at scale. Safety & Bias Auditing: Lead "Red Teaming" sessions to identify potential biases, toxic content, or PII (Personally Identifiable Information) leaks. Regression Testing: Manage the evaluation of model performance across different versions to ensure seamless upgrades and stability. Collaboration & Delivery: Work with Product Owner, Developers, AI Engineers and UX Designers to deliver the Virtual Companion. Contribute to sprint planning, code reviews and documentation. Requirements & Qualifications: Bachelor’s degree or above, with 2-5 years in software development and relevant experience specifically within the AI/ML development landscape. AI/ML Literacy: A strong grasp of LLM fundamentals, including tokens, temperature, top-p, and context windows. Programming: Proficiency in Python. API Testing: Expertise in testing RESTful APIs and WebSocket connections for real-time AI interactions. What's in it for you? You will be working at the intersection of Software Engineering, Data Science, and Ethics. You will play a pivotal role in defining what "quality" means for the next generation of Virtual Companions, helping us build AI that users can trust and enjoy. Impact: Directly shape a product that will be used by global supply chain leaders. Innovation: Work at the intersection of Generative AI, agentic systems, and real world optimization. Culture: Collaborative, ethically driven, and inclusive environment. Growth: Dedicated learning budget, hands on exposure to real world supply chain challenges, clear career pathways
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.