Platform Infrastructure Engineer- Software New York, NY or Austin, TX

Future Secure AI Pty; New York (NY); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Competitive Compensation

Growth Opportunities

Collaborative Culture

Job summary

Future Secure AI Pty is looking for a Sr. AI/ML Software Engineer to develop and maintain key components for the FutureSecure.ai platform. You will focus on building and scaling infrastructure for intelligent interactions, requiring strong skills in TypeScript/Node.js and experience with distributed systems. The role also involves cloud infrastructure management using AWS, Azure, or GCP. Join a culture of innovation and impact where your work genuinely matters.

Qualifications

• Strong experience with TypeScript/Node.js and a compilation language such as Rust, Go, or C++.
• Demonstrated experience with distributed systems concepts.
• Solid experience with AWS, Azure, or GCP.

Responsibilities

• Design, develop, and maintain critical components of the FutureSecure.ai platform.
• Build and optimize integrations with large language models (LLMs).
• Implement and maintain robust distributed systems.

Skills

TypeScript/Node.js

Rust

Go

C++

Distributed Systems

Cloud Services

Docker

Kubernetes

Tools

AWS

Azure

GCP

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.

The Opportunity

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.

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.
• 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.

As set forth in Future Secure AI’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.