Senior Backend AI Engineer

• 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

• 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