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This role is about building serious backend infrastructure for AI systems that operate in real-world, high-stakes environments. The product sits at the intersection of AI systems, complex data workflows, and enterprise-grade reliability, turning sophisticated technology into tools that can be trusted in production.
Job Responsibility:
Designing and evolving the backend services that support large-scale data processing, AI model deployment, and secure enterprise workflows
Ensuring that complex AI functionality is delivered reliably, performs under load, and meets strict security and compliance expectations
Collaborating closely with machine learning engineers, product managers, and infrastructure specialists to turn advanced AI capabilities into production-ready systems
Influencing architectural decisions, guiding technical standards, and helping shape how backend engineering is done as the platform scales
Requirements:
Strong expertise in Python and modern backend frameworks
Deep knowledge of relational databases, particularly PostgreSQL
Strong understanding of RESTful API design and microservices patterns
Experience working with cloud platforms and containerised environments (Docker, Kubernetes)