Senior Software Engineer (AI)

TL;DR

Senior Software Engineer (AI): Building and evolving scalable test automation platforms and agentic AI workflows with an accent on engineering enablement and quality intelligence. Focus on designing traceable, auditable AI-driven systems that accelerate delivery while maintaining high standards in a regulated environment.

Location: Onsite in Bella Vista, Sydney, Australia

Company

hirify.global is a global leader in medical technology, dedicated to improving lives through innovative digital health and connected care solutions.

What you will do

• Provide technical leadership in architecture and design to ensure alignment with engineering standards.
• Design and evolve scalable test automation platforms and internal engineering tooling.
• Develop AI-driven workflows to orchestrate tools, code, and data for accelerated engineering outcomes.
• Establish data-driven quality intelligence pipelines to support risk-based testing and release readiness.
• Collaborate with product and quality stakeholders to embed AI-enabled practices into the delivery lifecycle.
• Mentor engineers and drive efficiency improvements through reusable patterns and technical coaching.

Requirements

• 8+ years of commercial experience in software engineering, computer science, or related fields.
• Proven experience delivering production-grade platforms, frameworks, or internal tooling.
• Strong programming proficiency in Python and Java.
• Practical experience applying AI/LLMs to real-world engineering workflows.
• Experience with cloud infrastructure and tools including AWS, Terraform, and Docker.
• Strong understanding of CI/CD, clean design, and modern testing practices.

Nice to have

• Experience with agentic AI, orchestration, and retrieval-augmented generation (RAG).
• Background in AI architecture, MLOps, and governance patterns.
• Experience operationalizing ML/AI solutions within cloud-based data platforms.
• Familiarity with modern browser/API test automation frameworks.

Culture & Benefits

• Commitment to a diverse and inclusive workplace culture.
• Focus on professional growth and career development in a supportive environment.
• Opportunity to work at the intersection of AI, automation, and engineering leadership.
• Emphasis on excellence and innovative problem-solving.