AI System Engineer
digitalxnode
Job Description
- Design, develop, and optimize AI and machine learning models for various business applications
- Build and maintain scalable backend systems and AI-driven applications
- Support the integration of AI solutions into existing software platforms and enterprise systems
- Develop and manage data pipelines, APIs, and automation workflows for AI processing
- Collaborate with cross-functional teams including developers, engineers, and product teams to deliver AI-enabled solutions
- Research and implement modern AI technologies, frameworks, and machine learning techniques
- Participate in software development lifecycle activities including planning, coding, testing, deployment, and maintenance
- Write clean, maintainable, and reusable code following software engineering best practices
- Improve application performance, scalability, and system reliability
- Work with cloud platforms such as AWS or Google Cloud Platform (GCP) for AI deployment and infrastructure management
- Troubleshoot technical issues, debug applications, and provide production support when required
- Assist in optimizing AI workflows, backend services, and cloud-based applications
- Contribute to system architecture discussions and technical decision-making processes
- Monitor and maintain AI applications and backend services for smooth operations
- Document technical workflows, development processes, and implementation details
- Stay updated with the latest trends and advancements in AI, machine learning, cloud computing, and software engineering