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:

    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 Compensa…