Sr. Applied AI Backend Engineer (AI)

Location: Taipei, Taiwan

Company

hirify.global develops cybersecurity solutions that protect organizations and individuals across clouds, networks, devices, and endpoints.

What you will do

• Design, develop, test, deploy, and support backend software solutions for endpoint security products.
• Use AI-assisted development tools such as GitHub Copilot, ChatGPT, or MCP servers to accelerate development and improve code quality.
• Collaborate with architects, project managers, developers, QA, UI designers, and other stakeholders on requirements, integrations, and issue resolution.
• Deliver features across planning, design, implementation, testing, deployment, and operation.
• Create test cases and scripts covering functionality, performance, reliability, and security.
• Troubleshoot complex issues and automate development and release processes.

Requirements

• Bachelor’s degree in computer science, engineering, or equivalent industry experience.
• Familiarity with one programming language, such as Golang, Python, Java, Node.js, or C#.
• Familiarity with testing frameworks such as Selenium, pytest, or Robot Framework.
• Knowledge of microservice architectures, REST API development, and relational or NoSQL databases such as PostgreSQL, MySQL, or Redis.
• Familiarity with Git and CI/CD processes such as GitHub Actions.
• Good English communication skills, proactive attitude, problem-solving ability, and effective collaboration in agile, cross-functional teams.

Nice to have

• Experience developing cloud service solutions with AWS, Azure, or GCP.
• Experience with containers such as Docker or Kubernetes and Infrastructure-as-Code tools such as Terraform or CloudFormation.
• Experience with monitoring, alerting, and log visualization tools such as Elasticsearch and Kibana.
• Experience with test management platforms such as TestRail.
• Ability to visualize design and test logic to improve test coverage and identify edge cases.

Culture & Benefits

• Shared ownership of development and testing, with quality built throughout the process.
• DevOps culture covering design, coding, testing, deployment, and customer issue support.
• Opportunities to collaborate across teams and share technical knowledge.
• Work on AI-powered cybersecurity products serving commercial customers worldwide.