AI Support Engineer

About the Company

 

At Future Secure AI, we're building something genuinely new — and we're looking for people bold enough to build it with us. We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you.

Future Secure AI is a rapidly scaling AI company co-developed with one of the world's largest financial institutions. Operating with the agility of a startup and the backing of global enterprise leaders, we are building technology that elevates human performance through advanced AI Co-Workers and next-generation LLM systems.

With deep C-suite access across industries and a growing network of global partners, our mission is bold: to redefine how humans and AI collaborate — and deliver 10x outcomes for individuals and organisations.

We are growing fast and looking for exceptional talent to help shape the future of AI.

 

The Opportunity

 

Key responsibilities

• Monitoring and detection: respond to ATLAS alerts; perform scheduled health checks and reactive monitoring on Classic; watch availability, performance, integration health, usage or cost anomalies, and AICW output-quality signals.
• Incident management: triage by priority; restore service using runbooks (restarts, queue clears, failovers, credential rotation, pre-approved configuration fixes); diagnose root cause; escalate code-level issues to Delivery and Engineering and platform or infrastructure issues to the DevOps and Infrastructure Engineer, with clear reproduction; support P1s alongside the Service Delivery Manager.
• Service requests: fulfil access, configuration, reporting and scheduled-task requests within SLA.
• Operational readiness and knowledge: contribute to operational acceptance of new AICWs; write and maintain runbooks and known-error notes; keep the service catalogue current.
• Quality and safety: recognise and act on guardrail, safety and security signals; invoke the kill-switch or disable path per runbook and escalate immediately when an AICW behaves unsafely or leaks data.
• Customer service: provide clear, professional incident updates and protect customer experience. Customer personal data is handled only within approved systems.
• Improvement: identify monitoring and automation improvements and reduce manual toil, especially on Classic.

 

Required skills and experience

• 2+ years of experience in software engineering, application support, production engineering, SRE, or a similar technical role.
• Strong programming skills with the ability to understand, debug, and troubleshoot application code.
• Hands-on experience with incident management, production troubleshooting, and resolving complex technical issues in a structured manner.
• Ability to analyse application logs, metrics, traces, and dashboards to identify root causes and drive resolution.
• Experience working with cloud environments such as AWS, Azure, or GCP.
• Comfortable working with APIs, databases, integrations, and modern software development practices.
• Experience with automation, scripting, or improving operational workflows is highly desirable.
• Strong understanding of monitoring, alerting, and reliability practices.
• Excellent written and verbal communication skills, with the ability to collaborate across engineering and product teams.
• Willingness to participate in an on-call rotation and support production systems when required.

Desirable

• ITIL 4 Foundation.
• Exposure to AI, machine learning or AI-agent products, and to status-page and incident-communication tooling.
• An automation mindset.
• Experience with cloud platforms such as AWS, Azure, or GCP

Why Join Us?

• A high-performance culture
• State-of-the-art technology
• Experience world-class leadership
• Scale of impact and purpose
• A competitive salary and a huge growth trajectory
• Work with the best in the industry
• Flexible work environment
• Diversity and creativity

Disclaimer: We do not wish to be contacted by recruitment agencies. Our hiring process is managed in-house and the best way for candidates to express interest is by applying with your resume through our company website.

 

 

Future Secure AI Privacy Policy

At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the "Website") and use our services.