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Future Secure AI

Delivers persona-based, multi-agent enterprise AI Co-Workers

AI Engineer - Software

Full-Time
$170k - $340k/yr
Senior
Bachelor's, Master's
Toronto, ON, Canada+2 moreMore locations: Austin, TX, USA | New York, NY, USA
In Person
Software EngineeringAI Application Engineering

About the job

Requirements
  • A bachelor's degree in Computer Science, Information Systems, or a related field is required.
  • Seven years of software development experience is required.
  • Experience with or knowledge of artificial intelligence concepts, including natural language processing, machine learning, and neural networks, is required.
  • A strong background in TypeScript development is required.
  • Experience building secure, scalable application programming interfaces is required.
  • Understanding of cloud environments, including Azure, Amazon Web Services, and Google Cloud Platform, is required.
  • A passion for learning about artificial intelligence agent frameworks is required.
  • The ability to solve problems and analyze issues is required.
  • A strong attention to detail and integrity in work is required.
  • A leadership mindset and the ability to proactively take charge in a fast-moving environment are required.
Responsibilities
  • Enable enterprise customers to deploy diverse AI agents from multiple third-party platforms, including models, large language models, microservices, and orchestration layers, through their secure and scalable platform.
  • Develop innovative AI products for global clients, focusing on TypeScript.
  • Identify and incorporate new partnerships, products, and technologies, including large language models and AI models from established and emerging vendors.
  • Design and implement algorithms for AI agents using TypeScript expertise and knowledge of AI frameworks.
  • Plan the integration of new features and application programming interfaces across various platforms in large-scale enterprise environments, using TypeScript and potentially Python.
  • Understand user needs and apply meticulous attention to detail to ensure solutions meet user expectations.
  • Uphold and exceed enterprise-grade compliance standards such as SOC 2 to ensure products are secure and reliable.
Desired Qualifications
  • A master's degree in Computer Science, Information Systems, or a related field.
  • Practical experience with artificial intelligence agent frameworks.
  • Experience with agent orchestration applications.
  • Proficiency in continuous integration and continuous delivery, Kubernetes, and containerization technologies.
  • Experience using Python.

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