Job description

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 seeking a highly skilled and motivated Software Engineer to join our core Platform Team in Austin, Texas, New York, NY or Toronto, ON . You will be a key contributor to building and scaling the infrastructure that powers FutureSecure.AI’s intelligent interactions. This role is highly prioritized for engineers with a strong foundation in both high-level scripting languages and performant, compiled systems, coupled with experience in building robust distributed systems. You will be responsible for developing and maintaining the core components of our platform, enabling seamless integration of AI models and ensuring a world-class developer experience. Responsibilities Platform Development: Develop and maintain components of the FutureSecure.ai platform, with attention to scalability, reliability, and performance Distributed Systems: Contribute to distributed systems components, applying concepts like durable execution, idempotency, retry semantics, and circuit breakers AI/ML Integration: Build and optimize integrations with large language models (LLMs), utilizing best practices for prompt engineering, tool use, streaming, and token management Developer Tooling: Contribute to developer-facing SDKs and platform tooling, with attention to a clean, intuitive, and well-documented API surface Cloud Infrastructure: Help provision and manage cloud infrastructure (AWS, Azure, or GCP) using cloud-native patterns and managed services Containerization & Orchestration: Deploy, operate, and scale containerized services using Docker and Kubernetes Performance Optimization: Identify and address performance bottlenecks in application code and services Collaboration & Code Quality: Work closely with other engineers and researchers to deliver high-quality, well-tested code Minimum Qualifications Bachelor's Degree in Computer Science, Electrical Engineering, a related field or relevant practical experience 3+ years of experience in a similar role Experience with TypeScript/Node.js and a compilation language such as Rust, Go, or C++ Familiarity with one or more distributed systems concepts including durable execution, idempotency, retry semantics, and circuit breakers A broad and genuine curiosity across computer systems – operating systems, networking, security, databases, compilers Nice To Haves Experience with cloud platforms (AWS, Azure, or GCP), including managed services and cloud-native patterns Experience deploying and operating containerized services (Docker, Kubernetes) Experience contributing to developer-facing SDKs or platform tooling, with attention to clean, well-documented APIs Experience integrating with large language models (LLMs) — prompt engineering, tool use/function calling, streaming responses, and token management Why Join Us? Impactful Work: Be part of a team that’s building the future of work and empowering people through AI Innovation: Work with cutting-edge machine learning technology and contribute to a rapidly evolving platform Growth Opportunities: We are a fast-growing company with ample opportunities for professional development Collaborative Culture: Join a team of passionate and talented individuals Competitive Compensation and Benefits: We offer a comprehensive package to reward your contributions 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.

Requirements

Must-haves

Platform Development: Develop and maintain components of the FutureSecure.ai platform, with attention to scalability, reliability, and performance
Distributed Systems: Contribute to distributed systems components, applying concepts like durable execution, idempotency, retry semantics, and circuit breakers
AI/ML Integration: Build and optimize integrations with large language models (LLMs), utilizing best practices for prompt engineering, tool use, streaming, and token management
Developer Tooling: Contribute to developer-facing SDKs and platform tooling, with attention to a clean, intuitive, and well-documented API surface
Cloud Infrastructure: Help provision and manage cloud infrastructure (AWS, Azure, or GCP) using cloud-native patterns and managed services
Containerization & Orchestration: Deploy, operate, and scale containerized services using Docker and Kubernetes
Performance Optimization: Identify and address performance bottlenecks in application code and services
Collaboration & Code Quality: Work closely with other engineers and researchers to deliver high-quality, well-tested code
Bachelor's Degree in Computer Science, Electrical Engineering, a related field or relevant practical experience
3+ years of experience in a similar role
Experience with TypeScript/Node.js and a compilation language such as Rust, Go, or C++
Familiarity with one or more distributed systems concepts including durable execution, idempotency, retry semantics, and circuit breakers
A broad and genuine curiosity across computer systems – operating systems, networking, security, databases, compilers

Nice-to-haves

Experience with cloud platforms (AWS, Azure, or GCP), including managed services and cloud-native patterns
Experience deploying and operating containerized services (Docker, Kubernetes)
Experience contributing to developer-facing SDKs or platform tooling, with attention to clean, well-documented APIs
Experience integrating with large language models (LLMs) — prompt engineering, tool use/function calling, streaming responses, and token management
Why Join Us?
Impactful Work: Be part of a team that’s building the future of work and empowering people through AI
Innovation: Work with cutting-edge machine learning technology and contribute to a rapidly evolving platform
Growth Opportunities: We are a fast-growing company with ample opportunities for professional development
Collaborative Culture: Join a team of passionate and talented individuals
Competitive Compensation and Benefits: We offer a comprehensive package to reward your contributions

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlapiawsazuregcpdockerkubernetestypescriptnode.jsrustgomachine learning

Platform: greenhouse
Effort: quick

Benefits

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Vision

Professional Development