Senior Backend AI Engineer

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May 28

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EfficientVision

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API • Artificial Intelligence • Healthcare Insurance

EfficientVision is a global, full-service technology provider committed to helping you achieve your goals through a blend of industry expertise and advanced technologies. As your comprehensive business partner, we offer 360° services, ensuring faster time-to-value and complete support. Our services include Digital Marketing Solutions, IT Services, CRM Integration and Management, AI-Powered Data Analytics, and Software Development, catering to various industries, especially in the pharmaceutical and healthcare sectors.

51 - 200 employees

🔌 API

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

📋 Description

• This is a remote position. • 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

🎯 Requirements

• 5+ years of backend software development experience, ideally in Python, Go, or Java • 2+ years of experience deploying and scaling machine learning models in production • Solid understanding of RESTful APIs, gRPC, message queues, and microservice architectures • Experience with ML frameworks (e.g., TensorFlow, PyTorch, ONNX) and serving tools (e.g., TorchServe, Triton, FastAPI) • Strong knowledge of Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure) • Familiarity with data pipelines, distributed systems, and model versioning (MLflow or similar) • Proficiency in SQL and NoSQL databases (e.g., PostgreSQL, Redis, MongoDB)