Job Opportunities API

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   Sr. AI/ML 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:   Design, develop, and maintain critical components of the FutureSecure.ai platform, focusing on scalability, reliability, and performance AI/ML Integration:   Build and optimize integrations with large language models (LLMs), utilizing best practices for prompt engineering, tool use, streaming, and token management Distributed Systems Architecture:   Implement and maintain robust distributed systems, leveraging concepts like durable execution, idempotency, retry semantics, and circuit breakers Developer Tooling:   Develop and maintain developer-facing SDKs and platform tooling, prioritizing a clean, intuitive, and well-documented API surface Cloud Infrastructure:   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 across the entire stack, from application code to infrastructure 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 5+ years of experience in a similar role Experience with   TypeScript/Node.js   and   a compilation language such as   Rust, Go, or C++ Demonstrated experience with   distributed systems concepts   including durable execution, idempotency, retry semantics, and circuit breakers Experience with   cloud platforms   (AWS, Azure, or GCP) – infrastructure provisioning, managed services, and cloud-native patterns Experience deploying and operating   containerized services   (Docker, Kubernetes) Experience building or maintaining   developer-facing SDKs or platform tooling   where the API surface matters as much as the internals A broad and genuine curiosity   across computer systems – operating systems, networking, security, databases, compilers Preferred Qualificatio