Platform AI/ML Software Engineer

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: 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.