Data Scientist
Indium Software IndiaJob Description
AI Engineer - Gaming
Role Overview We are looking for an SDET with hands-on gaming industry experience and foundational AI/ML understanding who can serve as the bridge between traditional QA engineering and AI-powered testing, tooling, and gameplay use cases. This person will work directly with PeopleFun’s technology leadership to translate proposed AI use cases into working prototypes and production-ready implementations within their Unity environment. Key Responsibilities • Collaborate with AI Tech Head to scope, design, and build AI use cases proposed during the pitch phase • Develop and maintain automated test frameworks for Unity-based mobile games, incorporating AI-assisted testing methodologies • Prototype AI/ML integrations within the Unity pipeline (e.g., automated playtesting, intelligent bug detection, procedural content validation) • Build tooling that leverages LLMs or lightweight ML models to accelerate QA, testing, and development workflows • Write and maintain test scripts (unit, integration, regression) with an AI-augmented approach • Work within CI/CD pipelines to integrate AI-driven test automation into the client’s release cadence • Document AI use case implementations, technical architecture decisions, and testing strategies for the client’s internal teams • Act as iXie’s on-ground AI specialist, maintaining high visibility and trust with the client Required Qualifications • 3–6 years of experience as an SDET or QA Automation Engineer • Demonstrated experience in the gaming industry, preferably in mobile gaming • Proficiency with Unity (C# scripting, Unity Test Framework, Editor tooling) • Foundational understanding of AI/ML concepts: prompt engineering, model inference, API integration with LLMs (OpenAI, Claude, Gemini, etc.) • Experience with at least one test automation framework (Selenium, Appium, Pytest, NUnit, or equivalent) • Familiarity with CI/CD tools (Jenkins, GitHub Actions, or similar) • Strong programming skills in C# and/or Python • Ability to work autonomously in a client-embedded model with minimal supervision Preferred Qualifications • Experience building or integrating AI-powered tools in game development workflows • Familiarity with ML frameworks (TensorFlow Lite, ONNX, ML-Agents) within Unity • Prior experience in outsourced/services engagement models • Knowledge of mobile game performance testing and device farm setups • Good to have experience with generative AI applications (NPC behavior, procedural content, automated dialogue testing)Experience Level
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