AI Engineer 1

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.

• 2 5 years of experience in AI/ML engineering or software development.

• Strong programming skills in Python and experience with modern ML frameworks.

• Practical experience building APIs and deploying models in production.

• Familiarity with cloud infrastructure (AWS, GCP) and container tools (Docker, K8s).

• Understanding of microservices, databases (SQL/NoSQL), and version control (Git).

• Strong problem-solving abilities and communication skills.

• Experience with MLOps, reinforcement learning, or computer vision.

• Contributions to open-source projects or relevant publications.

• Enthusiasm for AI innovation and Mirai s vision.