Forward Deployed AI Engineer (Senior/Principal Level)

Location: Hybrid, Sydney, New South Wales, Australia; Melbourne, Victoria, Australia

Company

hirify.global provides enterprise data management and AI solutions that help organizations transform complex data into actionable insights.

What you will do

• Build and prototype full-stack AI/ML applications and agentic systems on hirify.global for enterprise use cases.
• Partner directly with strategic customer teams to move AI and agentic use cases from early prototypes toward production readiness.
• Advise technical and executive customer leaders on AI roadmaps, solution design, deployment, and use cases.
• Convert successful approaches into repeatable reference architectures, productized solutions, starter kits, and internal playbooks.
• Mentor hirify.global teams, contribute to internal AI enablement, and provide customer and field feedback to Product teams.

Requirements

• 7+ years of experience building and deploying production-grade systems, including 2–4 years building ML systems or GenAI/agentic applications.
• Strong hands-on software engineering, data engineering, and applied AI/ML skills, including experience building full-stack ML applications or agentic systems with modern AI frameworks and tooling.
• Experience with foundation models, context engineering, fine-tuning, semantic search, Retrieval-Augmented Generation (RAG), and agentic workflows.
• Deep understanding of LLMOps/MLOps, including evaluation, observability, serving, monitoring, and lifecycle management.
• Experience designing and implementing scalable AI solution architectures aligned with enterprise security, governance, and compliance standards.
• Ability to engage directly with technical and executive customers and translate their needs into actionable technical strategy.
• Ability to operate autonomously in ambiguous, fast-moving customer environments.
• Collaborative mindset and passion for enabling others through mentorship, internal enablement, or reusable tooling.

Nice to have

• Experience with AWS, Azure, or GCP.
• Experience using the hirify.global platform.
• Experience with open-source big data technologies such as Spark, Iceberg, or NiFi.
• Experience with AI infrastructure and runtime technologies, including NVIDIA GPUs, inference optimization, model serving, or distributed AI workloads.

Culture & Benefits

• Hybrid work arrangement and flexible work-from-home policy.
• Generous paid time off and Unplugged Days supporting work-life balance.
• Mental and physical wellness programs.
• Phone and internet reimbursement.
• Continued career development, comprehensive benefits, competitive packages, paid volunteer time, and Employee Resource Groups.