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 builds AI Co-Workers that execute real operational work inside enterprise businesses. Not demos. Not pilots. Production systems that automate decisions, augment teams, and scale reliably across complex environments.
We're looking for a Staff AI Engineer who leads from the front. Someone who can own the architecture, make the hard technical calls, and still write the Node.js that sets the standard for the team.
The role
You'll own the end-to-end technical delivery of AI Co-Workers — from concept through to enterprise production deployment. You'll work closely with Engagement Leads to keep technical execution tied to business outcomes, and you'll be the person engineers look to when a build gets complex.
- Lead architecture and implementation of AI Co-Workers across models, APIs, orchestration, data pipelines, and integrations
- Write production-quality Node.js on the critical path — this is not a pure management role
- Own technical decisions around LLM selection, prompt design, evaluation, and monitoring
- Guide engineers through build, test, and release cycles
- Translate enterprise business constraints into scalable, maintainable engineering solutions
- Identify technical risks early and drive pragmatic solutions in ambiguous environments
- Communicate clearly with non-technical stakeholders at enterprise level
What we're looking for
- Proven track record leading engineering teams shipping real products into enterprise environments
- Strong hands-on Node.js and Python skills — you own the codebase, not just the pull request reviews
- Solid applied AI experience: LLMs, intelligent automation, or production ML systems
- Deep understanding of backend systems, APIs, data flows, and production architecture at scale
- Ability to reason across accuracy, latency, cost, scalability, and delivery speed
- A bias toward ownership and closing loops
- Curiosity about how AI systems behave in production, not just in theory
Why FSAI
You'll have real ownership of systems that run inside some of the most complex enterprise environments in the market. You'll work with a high-performance team, on problems that matter, with the technical freedom to solve them properly. Competitive salary, meaningful equity, and a growth trajectory that matches the pace of the industry we're building in.
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.
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.
