AI Engineer 1

Overview

• As an AI Engineer, you will design and implement scalable, production-grade AI systems that support analytics, intelligent automation, decision support, and productivity tools across Mirai s enterprise operations.
• You ll collaborate with product, design, and engineering teams to translate business needs into robust AI-powered solutions.
• Design, develop, and deploy AI-powered systems that support data-driven analytics, intelligent automation, and enhanced productivity across enterprise operations.
• Take ownership of key projects or components from ideation and prototyping to research and scalable, production-ready deployment.
• Collaborate with cross-functional teams to translate product and business requirements into robust, AI-driven features.
• Implement and optimize machine learning models using modern ML frameworks (e.g., PyTorch, TensorFlow) for applications such as Conversational Analytics, Knowledge Bases, Workflow Automation, and AI-powered enterprise solutions.
• Develop, document, and maintain scalable APIs (e.g., using FastAPI) and integrate AI solutions into enterprise backend systems and data pipelines.
• Ensure reliability and efficiency of deployed AI models through rigorous troubleshooting, testing, and optimization in production environments.
• Contribute to cloud-native development workflows using Docker, Kubernetes, and platforms like AWS or GCP.
• Apply modern software engineering best practices including CI/CD pipelines, code reviews, and version control to ensure high code quality and maintainability.
• Stay current with evolving AI technologies and industry trends and proactively share insights with the team.
• Mentor and support junior engineers and actively participate in architectural design discussions to drive innovation and excellence.