About Stylitics

Stylitics is a retail AI platform powering real-world, repeatable success for dozens of enterprise retailers. More than 100 million shoppers each month engage with our AI-driven outfitting, product discovery, and personalization experiences across e-commerce, apps, email, and stores. What sets us apart isn’t just what our AI can generate but the 10+ years of retail data, workflows, tools, experts, and QA systems behind it. These are the mission-critical components required to deliver safe, brand-right, production-ready AI at scale. Retailers trust Stylitics to elevate customer experience, drive revenue, and bring proven AI use cases to life.

About the Role

We're building the future of AI-powered fashion & retail automation, and we need a craftsperson who lives and breathes Clojure. 

Here's what we're actually building: AI workflows that generate outfit images, styled bundles, and "Complete the Look" recommendations at scale. Systems that pair products into looks that boost AOV and drive conversion. Intelligent review flows where humans and AI collaborate to produce millions of styled recommendations. Vector search architectures that power semantic discovery and product similarity across our catalog. All of this content must reach shoppers through high-scale APIs serving 175+ enterprise retailers and 100M+ shoppers monthly, fast, reliable, and integrated into our existing platform.

You'll work in Clojure and ClojureScript across the stack, but this is backend-heavy. You'll own features end-to-end: from schema design to API implementation to the review UI that your colleagues use daily.

We're a team of 12+ Clojure engineers who move fast and care about craft. We value ownership deeply. You'll have autonomy to architect solutions, make technical decisions, and ship production code quickly. If you're curious, opinionated about good code, and excited to build AI systems that actually work at scale, keep reading.

What You Will Do

• Temporal workflows that orchestrate multi-step AI operations: product attribution, laydown image generation, outfit creation,  and outfit copy generation
• Backend services in Clojure that integrate with LLM APIs (GPT, Gemini, etc.), manage context and prompts, handle streaming responses, and process structured outputs
• Data models and PostgreSQL schemas that support complex AI workflows, vector embeddings, and integration with our existing product catalog
• RAG pipelines using Qdrant for semantic search, similarity matching, and context retrieval that powers smarter AI recommendations
• ClojureScript UIs for review workflows where humans validate, edit, and improve AI-generated content
• APIs and data pipelines that connect everything together, monitoring systems that track AI quality, and the infrastructure that lets us ship fast
  
  

Must-Have Qualifications 

• Bachelor's Degree from an accredited college or university in Computer Science, Software Engineering, or other related fields
• Strong Clojure and ClojureScript experience. You've built production systems, you understand functional programming deeply, and you're comfortable with the ecosystem (shadow-cljs, re-frame, reagent etc.)
• Solid SQL skills and database design experience. You can model complex domains in PostgreSQL, write efficient queries, design schemas, and handle migrations. This is important.
• Experience integrating LLMs into production systems. You understand prompt engineering, managing context windows, handling non-deterministic outputs, and the practical challenges of building reliable AI features
• Backend engineering fundamentals. You know how to build APIs, design data flows, handle errors gracefully, and architect systems that scale
• High velocity. You ship often. You balance speed with quality, you know when to refactor and when to iterate, and you don't let perfect be the enemy of good
• Ownership mindset. You take responsibility for features from conception to production. You care about the outcome, not just writing code
• Curiosity. You're interested in AI, workflow orchestration, vector search, frontend UIs, data modeling, and figuring out how all the pieces fit together

Nice-to-Have Qualifications

• Experience with Java and the JVM ecosystem
• Experience with Temporal or similar workflow orchestration systems (Airflow, Dagster, Step Functions)
• Familiarity with vector databases like Qdrant, Pinecone, or Weaviate, and RAG architectures
• Experience with MCP (Model Context Protocol) or building tool-calling systems where LLMs interact with external services
• Understanding of image generation models, multimodal AI, or working with vision APIs
• Contributions to open-source Clojure projects
• Background in other functional programming languages (Haskell, OCaml, Elixir, Scala)
• Experience building developer tools, automation systems, or human-in-the-loop workflows

Our Values

Our values reflect what is important to us at Stylitics and serve as the foundation in which we do business. Each core value is best illustrated by actions and attitudes that each Stylitics team member practices. They define what working at Stylitics means and what our teams embody through their time here.

• We care deeply about delivering high quality work
• We work to be the best partners possible
• We get things done
• We believe the right team matters most
• We think like customers and act like owners
• We relish being pioneers