• 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)