onsite
Senior AI Engineer - Extra Space Storage
AI Engineer
Design and deliver scalable full‑stack AI systems, handling backend agent architecture, frontend performance, and data pipelines while optimizing performance and establishing best practices for reliable user experiences.
About the role
Key Responsibilities
- Architect, develop, and maintain end‑to‑end AI solutions, including backend inference agents and responsive frontend interfaces.
- Optimize model serving performance and latency using container orchestration (Kubernetes) and cloud services (AWS).
- Design robust data ingestion, preprocessing, and workflow pipelines to support continuous model training and evaluation.
- Implement CI/CD pipelines, automated testing, and monitoring to ensure reliability and rapid iteration of AI components.
- Establish coding standards, documentation, and best‑practice guidelines for AI development teams.
Requirements
- 5+ years of professional experience building production AI systems with Python and deep‑learning frameworks such as TensorFlow or PyTorch.
- Strong knowledge of cloud platforms (AWS) and container orchestration (Kubernetes) for scalable model deployment.
- Proficiency in designing RESTful APIs, microservices, and front‑end integration for AI‑driven applications.
- Hands‑on experience with CI/CD tools (e.g., Jenkins, GitHub Actions) and automated testing frameworks.
- Excellent problem‑solving skills and ability to collaborate across cross‑functional teams.
Skills
pythontensorflowkubernetesawscicd