Senior Backend AI Engineer

• 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)

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) Originally posted on Himalayas Backend-Engineer, AI-Engineer, Machine-Learning-Engineer, Software-Engineer, Cloud-Engineer, Senior-AI-Backend-Engineer, Senior-AI-Backend-Developer, Backend-AI-Engineer, Senior-Backend-Developer-(Artificial-Intelligence), AI-Backend-Engineer, Senior-Machine-Learning-Backend-Engineer, Senior-Backend-Engineering, Senior-AI-Engineer, Senior-AI-Software-Engineer, Backend-AI-Engineering