Deskripsi Pekerjaan
Join Xsolla's pioneering GenAI engineering team as a Full Stack AI Engineer in Kuala Lumpur! We're seeking innovative, curious minds passionate about transforming industries through generative AI. In this role, you'll architect and deploy cutting-edge AI solutions that bridge front-end experiences with back-end intelligence. You'll work with large language models, neural networks, and cloud-based AI infrastructure to create scalable, user-centric applications. Collaborate with cross-functional teams to translate complex AI capabilities into tangible product features while maintaining rigorous QA standards. This is your chance to shape the future of AI at a global gaming technology leader and contribute to projects that impact millions of users worldwide.
Tanggung Jawab
- Design and implement full-stack AI applications integrating generative models with responsive front-end interfaces
- Develop and optimize AI pipelines for model training, inference, and performance monitoring
- Collaborate with QA teams to establish AI testing frameworks and quality assurance protocols
- Integrate AI solutions with cloud services (AWS/GCP) and containerized environments
- Document technical specifications and create API documentation for AI components
- Stay current with emerging AI trends and evaluate new tools for implementation
- Conduct code reviews and mentor junior engineers on AI development best practices
Kualifikasi
- Bachelor's degree in Computer Science, AI, or related field (Master's preferred)
- 5+ years full-stack development experience with 3+ years in AI/ML projects
- Expert proficiency in Python, JavaScript/TypeScript, and modern frameworks (React, Node.js)
- Strong understanding of ML frameworks (TensorFlow, PyTorch) and generative AI techniques
- Experience with cloud AI services (AWS SageMaker, Vertex AI) and MLOps workflows
- Knowledge of AI ethics, bias mitigation, and responsible AI development principles
- Proven ability to deliver production-ready AI solutions with measurable performance metrics