The OpportunityWe 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.
What You'll Do:
- 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.
What You'll Bring:
- Language Proficiency: Strong experience with TypeScript/Node.js and a compilation language such as Rust, Go, or C++.
- Distributed Systems Expertise: Demonstrated experience with distributed systems concepts including durable execution, idempotency, retry semantics, and circuit breakers.
- Cloud System Expertise: Solid experience with cloud platforms (AWS, Azure, or GCP) - infrastructure provisioning, managed services, and cloud-native patterns.
- Systems Curiosity: Broad and genuine curiosity across computer systems - operating systems, networking, security, databases, compilers. The more surface area you understand, the better!
- Containerization: Experience deploying and operating containerized services (Docker, Kubernetes).
- SDK/Tooling Experience: Experience building or maintaining developer-facing SDKs or platform tooling where the API surface matters as much as the internals.
- LLM Familiarity: Familiarity with LLM integration patterns including prompt engineering, tool use, streaming, and token management.
Why FutureSecure.ai?
- 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.
