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Latino Legends

Clojure Software Engineer, Shopper Inspiration

Latino Legends

Clojure Software Engineer developing backend solutions for AI-powered retail applications. Involves designing workflows, integrations, and systems at scale.

Posted 6/11/2026contractRemote • 🇺🇸 United StatesMid-LevelSenior💰 $5,000 - $9,000 per monthWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
ClojureClojureScriptPostgreSQLAPIsdata pipelinesRAG pipelinessemantic searchvector embeddingsfunctional programmingLLM integration
Soft Skills
ownership mindsetcuriosityquality maintenancesystem designbackend engineering fundamentals
Tools & Technologies
TemporalQdrantGPTGemini
Certifications & Qualifications
Bachelor’s degree in Computer ScienceBachelor’s degree in Software Engineering
Industry Keywords
AI operationsimage generationproduct attributionoutfit creationcopy generationmonitoring systemsAI qualityAI reliability

Tech Stack

Tools & technologies
ClojurePostgresSQL

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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

Benefits

Comp & perks
  • Health insurance
  • Flexible work arrangements
  • Professional development
  • Long-Term Contract