AI Engineer

• Lead end-to-end implementation of complex AI models and applications integrated into digital products and operational systems
• Translate business requirements into scalable AI solutions that perform reliably in production environments
• Architect and develop high-performance AI applications and multi-step agents optimized for latency, accuracy, and maintainability
• Extend and adapt agent frameworks for predictive maintenance, diagnostics, and customer support automation
• Align development decisions with AI Enablement team guidance on approved architectural and integration patterns
• Collaborate with product owners, software engineers, solution architects, business teams, and AI Enablement
• Integrate AI features into production release cycles
• Participate in security reviews, architecture compliance, and governance approvals
• Ensure ethical data usage and adherence to privacy and compliance requirements
• Evaluate emerging AI tools, frameworks, and techniques
• Lead initiatives that transform prototypes into production-grade capabilities with measurable ROI
• Recommend optimizations for model inference speed, scalability, and cost efficiency
• Provide technical guidance and mentorship to AI Engineer I and II team members
• Lead code reviews and establish engineering best practices
• Manage third-party contractors and university projects

Explore Senior AI Engineer at Doosan. Review requirements and application details.