Platform Software Engineer
About the job
- A Bachelor's degree in Computer Science, Electrical Engineering, a related field, or relevant practical experience.
- At least 3 years of experience in a similar role.
- Experience with TypeScript/Node.js and a compiled language such as Rust, Go, or C++.
- Familiarity with distributed systems concepts including durable execution, idempotency, retry semantics, and circuit breakers.
- A broad curiosity across computer systems, including operating systems, networking, security, databases, and compilers.
- Develop and maintain platform components with attention to scalability, reliability, and performance.
- Contribute to distributed systems components using concepts such as durable execution, idempotency, retry semantics, and circuit breakers.
- Build and optimize integrations with large language models using prompt engineering, tool use, streaming, and token management practices.
- Contribute to developer-facing SDKs and platform tooling, maintaining a clean, intuitive, well-documented API surface.
- Help provision and manage cloud infrastructure using AWS, Azure, or GCP, cloud-native patterns, and managed services.
- Deploy, operate, and scale containerized services using Docker and Kubernetes.
- Identify and address performance bottlenecks in application code and services.
- Work with engineers and researchers to deliver high-quality, well-tested code.
- Experience with cloud platforms such as AWS, Azure, or GCP, including managed services and cloud-native patterns.
- Experience deploying and operating containerized services using Docker and Kubernetes.
- Experience contributing to developer-facing SDKs or platform tooling with clean, well-documented APIs.
- Experience integrating with large language models, including prompt engineering, tool use or function calling, streaming responses, and token management.
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