AI Software Engineer, Backend (SF)

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About this kind of role

What a AI Software Engineer, Backend (SF) usually does. The employer's own details are in the listing.

Typically does: Develops and maintains the server-side logic and infrastructure that powers artificial intelligence applications. This includes designing, building, and testing APIs, databases, and machine learning pipelines. Backend AI Software Engineers often focus on scalability, performance, and reliability to ensure AI systems function efficiently and handle large datasets. They collaborate with frontend engineers and data scientists to integrate AI models into user-facing applications.

Tools and skills: Proficiency in programming languages like Python, Java, or Go, experience with cloud platforms (AWS, Azure, Google Cloud), database management systems (SQL, NoSQL), and machine learning frameworks (TensorFlow, PyTorch) is generally expected.

Good fit for: Individuals with a strong foundation in computer science principles and a passion for building robust and scalable systems are typically successful in this role.