Clojure Software Engineer, Shopper Inspiration (Backend)

Full-Time | EST Hours | USD $5,000–$8,500/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:

1. 15–20 Minute Live Coding Challenge – Focused on fundamentals and problem-solving

2. Cultural Fit Interview – Alignment on communication, collaboration, and mindset

3. Final Technical Live Coding Session – Real-world scenario simulation