Engineering Manager - ML & AI Systems (AI Products)

Location: Hybrid in Sydney, Australia, at 45 Clarence St

Company

hirify.global develops software products and AI-powered capabilities that help small businesses manage financial workflows and operations.

What you will do

• Lead, coach, and develop a high-performing engineering team building AI-powered customer experiences and product workflows.
• Guide engineering across ML models, generative AI, agentic systems, backend services, platforms, and infrastructure.
• Turn research, models, and emerging AI capabilities into secure, reliable, and scalable production products.
• Build engineering maturity across MLOps, LLMOps, observability, evaluation, and operational practices for production AI systems.
• Shape technical direction with staff and principal engineers while balancing predictable delivery, system health, and long-term maintainability.
• Support production coding, code reviews, debugging, incidents, and complex technical challenges when needed.

Requirements

• Strong experience leading, coaching, and developing engineers and building team capability.
• Strong technical judgment across architecture, system design, and engineering trade-offs.
• Experience translating business goals into executable engineering plans.
• Experience delivering roadmaps predictably in fast-paced, evolving environments and adapting to changing priorities and technology.
• Understanding of production-grade software, including customer-facing experiences, backend services, distributed systems, platforms, and infrastructure.
• Comfort writing, reviewing, or debugging production code to unblock the team, support incidents, or resolve complex technical challenges.
• Experience with machine learning, generative AI, or AI-powered products is a bonus rather than a requirement.

Culture & Benefits

• Flexible hybrid working model combining remote work with office collaboration and team boost days.
• Collaborative work across Data & AI, Applied Science, Data Engineering, Product, and other engineering teams.
• Focus on inclusive teams, sustainable engineering practices, delivery excellence, and system health.
• Full-time employment.