About this opportunity
Future Secure AI lists this Platform AI/ML Software Engineer opportunity in austin, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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 Qualifications
Familiarity with LLM integration patterns including prompt engineering, tool use, streaming, 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
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Worksite address
austin, TX, 78716, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.