Job Description
Are you ready to architect the foundation of tomorrow? Apex Future Systems is seeking a visionary Senior AI Infrastructure Engineer to lead our 2026 roadmap.
As we stand on the precipice of a new era in artificial intelligence, we are building scalable, secure, and efficient infrastructure to power the next generation of generative models. In this role, you will bridge the gap between cutting-edge machine learning research and robust production engineering.
Why join us? We offer competitive equity, a remote-first culture, and the chance to work on projects that will define the technology landscape of 2026.
Responsibilities
- Design and implement high-throughput AI training pipelines using Kubernetes and PyTorch.
- Optimize model inference latency for edge devices and cloud deployment.
- Lead the migration of legacy workloads to modern serverless architectures.
- Collaborate with data scientists to ensure seamless model deployment and monitoring.
- Establish best practices for MLOps, including CI/CD, automated testing, and observability.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in backend development and infrastructure engineering.
- Strong proficiency in Python, Go, or Rust.
- Deep understanding of cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, K8s).
- Experience with machine learning frameworks (TensorFlow, PyTorch) and MLOps tools (MLflow, Kubeflow).