AI Infrastructure & Performance Engineer

Job Title : AI Infrastructure & Performance Engineer

Experience : 4 to 6 Years

Location : Remote

Job Type : Full-time / Contract

Joiners : Immediate or short notice preferred

AI Infrastructure & Performance Engineer (1 Position) Primary Responsibilities Setup and manage model deployment infrastructure

Optimize inference speed and resource utilization

Monitor and scale AI services

Implement security for model deployments

Manage costs and optimize compute resource usage

Detailed Skillset Model Serving : Ray Serve, vLLM, optimized inference engines

Infrastructure : Kubernetes, Docker, cloud deployments (AWS / Azure / GCP)

Performance Optimization : Quantization, caching, batch processing

Monitoring : Prometheus, Grafana

Security : Secure model serving, access control, input validation

DevOps : CI / CD pipelines, automated scaling

Cost Management : Resource tracking and optimization

Tools & Technologies Kubernetes, Docker, Helm

Ray Serve, vLLM

Prometheus, Grafana

AWS / Azure / GCP AI services

Security scanning and access management tools