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N Nir Yu is seeking a skilled Clojure Backend Software Engineer to build and scale AI-powered infrastructure for outfit generation, bundles, and recommendations. The role focuses on backend-heavy work across Clojure/ClojureScript, PostgreSQL schema design, and LLM API integration.
The candidate will design robust data models, orchestrate complex workflows with Temporal, and contribute to RAG pipelines and vector search features used by 175+ retailers and millions of shoppers.
We are looking for a skilled Clojure Backend Software Engineer for the Core Outfitting team. The main goal of this role is to build and scale the AI-powered infrastructure and workflows that generate outfit images, styled bundles, "Complete the Look" recommendations, and vector search features powering 175+ enterprise retailers and over 100M+ monthly shoppers.
While you will touch Clojure and ClojureScript across the stack, this is a backend-heavy role. Responsibilities include designing PostgreSQL schemas, integrating with LLM APIs (GPT, Gemini), orchestrating multi-step workflows using Temporal, implementing RAG pipelines with Qdrant, and building internal human-in-the-loop review interfaces in ClojureScript (re-frame).