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.

About the Role

We are hiring Quality Assurance Engineers to play an integral role within our technology teams to ensure our AI products meet the highest standards of quality and performance.

This role requires a deep understanding of quality assurance processes, exceptional attention to detail, and passion for ensuring excellence.

The ideal candidate will have extensive experience in both manual and automated testing, and the ability to mentor and lead team members.

Responsibilities

Collaborate closely with development teams to understand product requirements and ensure they are reflected in test plans
Perform thorough testing of software applications, including functional, regression, performance, and security testing
Identify, document, and track bugs through resolution, ensuring timely follow-up and re-testing
Mentor and guide junior QA engineers, fostering a culture of quality and continuous improvement
Drive improvements in the QA process, including the adoption of new tools and methodologies
Participate in code reviews and provide feedback from a QA perspective
Work closely with DevOps and Development teams to ensure seamless integration of testing into the CI/CD pipeline
Analyze and report on test results, providing actionable insights to stakeholders

Minimum Qualifications

Bachelor’s degree in Computer Science, Information Systems, or related field
5+ years of experience in software QA, with at least 2 years in a senior or lead role
Proficiency in both manual and automated testing techniques
Strong experience with testing tools and frameworks (e.g., Selenium, JUnit, TestNG, etc.)
Solid understanding of Agile/Scrum methodologies
Experience with CI/CD tools (e.g., Jenkins, GitLab CI)
Excellent problem-solving skills and attention to detail
Strong communication skills, both written and verbal
Ability to work collaboratively in a fast-paced environment

Preferred Qualifications

Experience testing AI/ML-powered products or features, particularly validating non-deterministic outputs where the same input can produce multiple valid results
Familiarity with evaluation techniques for AI-generated output (e.g., rubric-based scoring, semantic similarity/embeddings, or keyword/threshold matching against a set of acceptable responses)
Experience testing systems with swappable or pluggable model backends (LLM-agnostic architectures), where the underlying model can change independently of the application
Awareness of AI-specific risk areas such as prompt injection, hallucination, data leakage, and cost/token failure modes
Practical experience using Gen AI tools (e.g., Copilot, Cursor, Claude) to accelerate test authoring, debugging, or maintenance
Experience designing test strategies that explicitly separate deterministic system behavior from probabilistic/AI-driven behavior

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 atwww.futuresecure.ai(the "Website") and use our services.

Salary Band: 175000.0 - 240000.0 USD

About the company

Future Secure AI builds persona-based, multi-agent AI Co-Workers designed for large enterprises and private equity firms. Their core offering, Red-Zone AI Co-Workers, consists of over 100 agent personas that automate complex, high-stakes workflows. The agents integrate with a client’s core systems and governance frameworks and operate securely on the client’s network, remaining cloud- and LLM-agnostic to avoid vendor lock-in. Workflows run within a hybrid team, with AI Co-Workers reporting to human managers and maintaining human-in-the-loop oversight. The company differentiates itself by targeting mission-critical environments with on-premise deployment, strong governance, and integration into existing IT and security controls, rather than generic AI tools. Their stated goal is to deliver 10x to 20x ROI on operating costs, often paying for themselves within six months. Clients span infrastructure, services, finance, health, and connected economies.

Company Size

201-500

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A

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Simplify's Take

What believers are saying

September 2026 pre-IPO fundraising reached a $1.8 billion valuation cap.
April 2026 Austin HQ and triple-hiring plan signal aggressive scaling.
Customers cite Macquarie, Healius, FIS, and Toga for finance and operations wins.

What critics are saying

ServiceNow and Salesforce shipped agent platforms in 2026, compressing differentiation quickly.
September 2026 TTAB appeal shows trademark vulnerability around Future Secure AI branding.
Multi-agent systems raise security and cascading-failure risks across privileged enterprise systems.

What makes Future Secure AI unique

Red-Zone AI targets complex, mission-critical workflows beyond copilots or simple agents.
On-network, cloud-agnostic deployments with 100+ agents reduce lock-in for regulated enterprises.
Persona-based co-workers report to human managers, fitting hybrid enterprise teams and governance.

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Benefits

Flexible Work Hours

Future Secure AI

Platform Quality Assurance Engineer

About the job