Job Description
Join FutureScale Inc. as we pioneer the technology stack of tomorrow. We are seeking a visionary Senior AI Infrastructure Engineer to lead our Project 2026 initiative. This is a rare opportunity to shape the foundational architecture of next-generation artificial intelligence systems. You will be responsible for building the scalable, high-performance infrastructure that powers our AI models, ensuring they remain at the cutting edge of the industry.
Why join us? We are backed by top-tier VC firms and are scaling rapidly. We offer a competitive compensation package, remote-first flexibility, and the chance to work on problems that define the future of technology.
Responsibilities
- Architect and deploy scalable AI infrastructure pipelines optimized for the 2026 technology stack.
- Design and implement distributed systems capable of handling petabyte-scale data processing.
- Collaborate with ML researchers to optimize model inference and reduce latency.
- Implement robust monitoring, logging, and alerting systems to ensure system reliability.
- Lead technical strategy for cloud migration and container orchestration (Kubernetes).
- Conduct code reviews and mentor junior engineers to foster a culture of excellence.
Qualifications
- Master’s degree in Computer Science, Engineering, or a related field (PhD preferred).
- Minimum of 8 years of experience in backend engineering and infrastructure.
- Deep expertise in Python, Go, or Rust.
- Proven experience with cloud platforms (AWS, GCP, or Azure) and serverless architectures.
- Strong understanding of containerization (Docker, Kubernetes) and CI/CD pipelines.
- Familiarity with AI/ML frameworks (TensorFlow, PyTorch) and MLOps practices.
- Exceptional problem-solving skills and the ability to work in a fast-paced, ambiguous environment.