Job Description
We are seeking a visionary Senior AI Infrastructure Engineer to lead the architectural design of our next-generation systems. As we prepare for the 2026 roadmap, we are looking for a technical leader who can bridge the gap between cutting-edge machine learning research and scalable, production-grade infrastructure. You will be instrumental in building the digital backbone that will support our enterprise clients for years to come.
Why Join Us?
- Work on the forefront of the AI revolution.
- Competitive compensation and equity package.
- Flexible remote-first culture with a hub in San Francisco.
- Access to state-of-the-art computing resources.
If you are passionate about building resilient systems and defining the future of tech, we want to hear from you.
Responsibilities
- Architecture Design: Design and implement scalable, high-performance AI infrastructure pipelines capable of handling petabyte-scale data.
- Model Deployment: Oversee the deployment and orchestration of ML models using Kubernetes and serverless architectures.
- Performance Optimization: Continuously monitor, optimize, and troubleshoot system latency and resource utilization.
- Collaboration: Partner with data scientists and ML engineers to translate research into production-ready code.
- Security & Compliance: Implement rigorous security protocols and ensure compliance with industry standards.
Qualifications
- Education: Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
- Experience: 5+ years of experience in software engineering, with at least 3 years focused on machine learning infrastructure.
- Programming: Expert proficiency in Python, with deep knowledge of PyTorch or TensorFlow.
- DevOps: Strong experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure).
- Tools: Familiarity with CI/CD pipelines, Terraform, and monitoring tools (Prometheus, Grafana).