Clojure Software Engineer, Shopper Inspiration (Backend) Full-Time | EST Hours | USD $5,000–$9,000/month | Long-Term Contractor At Latino Legends, we are partnering with a well-established technology company building AI-powered solutions for large-scale retail and e-commerce platforms. About Our Client Our client develops enterprise-grade AI systems that power personalization, product discovery, and automated merchandising experiences across web, mobile, email, and in-store channels. Their technology reaches more than 100 million shoppers each month through 175+ major retail brands. What sets them apart is not just cutting-edge AI — it’s over a decade of proprietary retail data, refined workflows, quality controls, and domain expertise. Their focus is on delivering reliable, brand-safe, production-grade AI systems that perform consistently at enterprise scale.

About the Role

We’re looking for a Clojure craftsperson who thrives in backend-heavy environments and is excited about building real AI systems that operate at massive scale. You’ll help build: AI workflows that generate outfit images, styled bundles, and “Complete the Look” recommendations Systems that intelligently pair products to increase AOV and conversion Human-in-the-loop review flows where AI-generated content is validated and improved Vector search architectures powering semantic discovery and product similarity High-scale APIs serving 175+ enterprise retailers and 100M+ shoppers monthly You’ll work across Clojure and ClojureScript, owning features end-to-end — from schema design and backend services to internal review UIs used daily by the team. The engineering team includes 12+ Clojure engineers who move quickly, care deeply about code quality, and value ownership. This is a high-autonomy environment where you’ll architect solutions, make technical decisions, and ship production-ready systems. What You’ll Do Design and implement Temporal workflows orchestrating multi-step AI operations (product attribution, image generation, outfit creation, copy generation) Build backend services in Clojure integrating with LLM APIs (GPT, Gemini, etc.) Manage prompts, context windows, streaming responses, and structured outputs Design PostgreSQL schemas supporting complex AI workflows and vector embeddings Implement RAG pipelines using Qdrant for semantic search and similarity matching Develop ClojureScript UIs for human review and validation workflows Build APIs and data pipelines that connect AI systems to the broader platform Implement monitoring systems to track AI quality and reliability Required Technologies Clojure PostgreSQL AI / LLM Integration & Management Advanced English Must-Have Qualifications Bachelor’s degree in Computer Science, Software Engineering, or related field Strong production experience with Clojure and ClojureScript Deep understanding of functional programming principles Solid SQL and database design experience (PostgreSQL) Experience integrating LLMs into production systems Strong backend engineering fundamentals (APIs, data flow, system design) Ability to ship quickly while maintaining quality Ownership mindset — from conception to production Curiosity about AI, vector search, orchestration, and system architecture

Nice-to-Have

Experience with Java and JVM ecosystem Experience with Temporal, Airflow, Dagster, or Step Functions Familiarity with vector databases (Qdrant, Pinecone, Weaviate) Experience building RAG architectures Exposure to multimodal AI or image generation systems Contributions to open-source Clojure projects Background in other functional languages (Haskell, OCaml, Elixir, Scala) Experience building developer tools or human-in-the-loop workflows Our Client’s Core Values Deliver high-quality work Be exceptional partners Execute with urgency Believe the right team matters most Think like customers, act like owners Embrace innovation and pioneering solutions Hiring Process Their streamlined process moves quickly while giving candidates a fair opportunity to demonstrate their strengths: 15–20 Minute Live Coding Challenge – Focused on fundamentals and problem-solving Cultural Fit Interview – Alignment on communication, collaboration, and mindset Final Technical Live Coding Session – Real-world scenario simulation