Backend Engineer

• Design and build scalable microservices that power Proximity’s AI-driven search and discovery stack.
• Develop backend services and APIs to support LLM-powered applications.
• Collaborate with ML engineers and data scientists to integrate RAG pipelines, multimodal models, and inference workloads into production.
• Optimize inference pipelines for latency, throughput, and cost efficiency (e.g., batching, caching, token budgeting).
• Own end-to-end delivery of complex backend projects, from design to deployment and monitoring.
• Write high-quality, maintainable code with rigorous testing and fault-tolerant practices.
• Drive operational excellence through performance tuning, incident response, and root cause analysis.
• Work cross-functionally with Product Managers, Data Scientists, and global engineering teams to translate business needs into scalable technical solutions.
• Deliver robust, resilient backend systems with high availability, reduced inference latency, and lower infrastructure costs.
• Maintain clear documentation and monitoring practices to ensure operational smoothness.

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