Software Development Engineer (AI)

TL;DR

Software Development Engineer (AI): Revolutionizing the home security landscape by building and optimizing cloud services for innovative machine learning operation pipelines with an accent on handling petabytes of heterogeneous data and enabling fast iteration of AI models. Focus on designing scalable cloud services, distributed systems, and web services to deliver a world-class platform for rapid AI model development and optimization.

Location: Onsite at Amazon Development Center Taiwan Limited in Taiwan

Company

hirify.global is a leading technology company focused on home security, developing innovative machine learning solutions.

What you will do

• Revolutionize the home security landscape by working on cloud services for machine learning operation pipelines.
• Handle petabytes of heterogeneous data to allow data scientists to create and optimize numerous models in fast iterations.
• Collaborate with exceptional Software, Hardware, and Computer Vision Engineers to foster innovation and cross-functional synergy.
• Deliver a world-class platform that enables rapid development and optimization of AI models.

Requirements

• Master's degree in computer science or equivalent.
• 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
• 2+ years of system design experience.
• Experience programming with at least one software programming language.
• Proficient in using GenAI technology (e.g., Cursor, Claude Code) for software development.

Nice to have

• Fluent in Java and Python.
• Experience with machine learning model development.
• Experience with GenAI and Agent service development using LLM/VLM.

Culture & Benefits

• Work within an inclusive culture that empowers Amazonians to deliver the best results for customers.
• Join a team committed to nurturing the growth of all members.
• Work in an environment that supports personal development.
• Continuously learn from customers to improve and innovate.