Senior Backend AI Engineer

EfficientVision; Job; Sur place; EUR 60 000 - 90 000; Plein temps

Résumé du poste

EfficientVision is seeking a backend engineer to design and implement robust, scalable, and secure backend services for AI-powered products. You will work closely with data scientists and ML engineers to integrate models into production systems and build APIs and microservices for real-time and batch processing.

You will ensure low-latency inference, manage resources, maintain CI/CD pipelines, and oversee containerization with Docker and Kubernetes, while collaborating across teams to define

Qualifications

• Design and implement robust, scalable backend services for AI-powered products.
• Collaborate with data scientists to deploy models into production.
• Build APIs and microservices for real-time and batch processing.
• Maintain CI/CD pipelines and cloud infrastructure.

Responsabilités

• Ensure low-latency inference and efficient model deployment.
• Monitor and optimize backend systems for performance and reliability.
• Manage containers and orchestration with Docker and Kubernetes.
• Define system architecture and technical standards with teams.

Connaissances

Backend development

API design

Cloud infrastructure

CI/CD

Docker/Kubernetes

Outils

Docker

Kubernetes

CI/CD pipelines

Description du poste

• Design and implement robust, scalable, and secure backend services for AI-powered products
• Work closely with data scientists and ML engineers to integrate models into production systems
• Build and optimize APIs, microservices, and data pipelines for real-time and batch processing
• Ensure low-latency inference, efficient model deployment, and resource management
• Maintain and improve CI/CD pipelines, containerization (Docker/Kubernetes), and cloud infrastructure
• Monitor, debug, and optimize backend systems for performance, scalability, and reliability
• Collaborate with cross-functional teams to define system architecture and technical standards
• Stay current with AI infrastructure trends, tools, and best practices