Experience delivering ai/ml products into production
Strong understanding of system architecture and apis
Proven ability to lead technical direction and mentor engineers
TYLin is seeking a Senior AI Engineer who will lead the design and implementation of AI-powered systems in a fully remote role. The ideal candidate will bring extensive experience in AI/ML product delivery, system architecture, and technical leadership, while benefiting from a supportive work culture focused on professional growth and work-life balance
Job Summary
The Senior AI Engineer provides technical leadership for the design, architecture, and implementation of AI-powered systems within a global infrastructure firm.
This role is responsible for establishing engineering standards, ensuring architectural integrity, and guiding the development of scalable, secure AI applications.
TYLin Philippines offers a culture of care including generous time off, mental health coverage, and professional development initiatives to foster employee growth.
Matching Summary
Match Score: 85
TYLin is seeking a Senior AI Engineer who will lead the design and implementation of AI-powered systems in a fully remote role. The ideal candidate will bring extensive experience in AI/ML product delivery, system architecture, and technical leadership, while benefiting from a supportive work culture focused on professional growth and work-life balance.
Skills & Requirements
Must-have
Experience delivering AI/ML products into production
Strong understanding of system architecture and APIs
Proven ability to lead technical direction and mentor engineers
Experience with Azure AI services or Microsoft AI Foundry
Familiarity with MLOps practices and vector databases
Nice-to-have
Experience in consulting or enterprise environments
Ability to balance speed of delivery with architectural soundness
Hands-on development skills for production-ready AI systems
Key Requirements
Experience delivering AI/ML or data products into production environments
Strong understanding of system architecture including APIs and cloud platforms
Experience with Azure AI services, Microsoft AI Foundry, or LLM-based systems