Job Description
Are you ready to architect the infrastructure of tomorrow? Horizon AI Systems is seeking a visionary Senior AI Infrastructure Engineer to lead our transition into the 2026 era of autonomous agents and generative intelligence.
We are not just building software; we are defining the future. In this role, you will oversee the deployment of scalable ML pipelines, ensuring our systems are robust, secure, and infinitely scalable. If you thrive in high-pressure environments and want to leave a legacy in the tech world, we want to hear from you.
Why Join Us?
We offer a competitive compensation package, equity opportunities, and the chance to work on breakthrough technologies that will shape the next decade of computing.
Responsibilities
- Design and implement high-performance distributed computing architectures for next-gen AI models.
- Optimize model inference latency and throughput using cutting-edge edge computing techniques.
- Collaborate with research teams to bridge the gap between theoretical AI and production-grade software.
- Implement rigorous security protocols and data governance frameworks for sensitive neural networks.
- Lead technical architecture reviews and mentor junior engineers in best practices.
Qualifications
- 5+ years of experience in Software Engineering, with a focus on Machine Learning infrastructure.
- Deep expertise in Python, C++, and containerization technologies (Docker, Kubernetes).
- Strong proficiency in cloud platforms (AWS, GCP, or Azure) and serverless computing.
- Experience with MLOps tools (MLflow, Kubeflow, Airflow).
- BS/MS in Computer Science, Engineering, or a related technical field.