Overview

The Luxury Closet is a company born in Dubai, the heart of luxury in the Arabian Peninsula, where we are redefining the world of luxury. We seek to challenge the norms and build a sustainable company that is loved and admired, and inspires the modern-day luxury consumer.

Responsibilities

• Design and ship production agentic AI systems (multi-step, tool-using LLM agents) for pricing, catalog enrichment, and authentication.
• Build RAG pipelines with vector databases, hybrid search, and reranking.
• Develop LLM evaluation frameworks (golden datasets, LLM-as-judge) to measure and improve output quality.
• Implement prompt engineering, structured outputs, and function calling patterns.
• Build resilience and observability into pipelines, including cost monitoring and latency tracking.
• Diagnose and fix end-to-end pipeline failures across data and infrastructure layers.
• Build production AI features using Gemini, Claude, and LangChain/LangGraph for customer-facing applications across the marketplace.

Qualifications

• 4–7 years of total engineering/ML experience, with at least 2 years shipping production AI/LLM systems.
• Track record of owning AI features end-to-end.
• AI/LLM Engineering: 2+ years building production LLM-powered features and multi-step agentic systems.
• Frameworks & Tools: Hands-on experience with LangGraph, LangChain, and vector DBs (e.g., Pinecone, Weaviate, pgvector).
• APIs & Infrastructure: Production experience with Gemini, Claude, and OpenAI APIs; GCP experience (Vertex AI, BigQuery) is strongly preferred.
• Operations: Experience with evaluation pipelines (LangSmith, Ragas) and observability tooling.
• Development: Async Python patterns (FastAPI).
• Proactive ownership and a quality-first mindset regarding AI evaluations.
• Ability to work both independently and collaboratively in a fast-paced environment.
• Excellent communication and documentation skills.
• Attention to detail and a passion for building high-quality AI solutions.