Mission:
«We’re building the operating system for modern retail. Built for age of AI, powered by shelf data».
Problems you’ll tackle:
«Large-scale computer vision; real-time decisioning for enterprise scale businesses; edge-to-cloud data pipelines; store-scale reliability; privacy-first design».
Why join now:
«Backed by top funds and operators; deliver measurable impact on the business; small senior team; meaningful ownership; Dubai-first, remote-friendly».
Values:
«Truth over theater · Ownership · Ship, then sharpen · Customer trust by default».
Careers
QA Automation Developer (AI-first) — Backend + Data + ML Quality
Build an automation-first quality system where AI helps generate, prioritize, and maintain tests.
What you’ll do
- Design and implement full-stack automated testing:
— API tests, integration tests, end-to-end flows
— contract testing between services
— negative testing and edge cases
— contract testing between services
— negative testing and edge cases
- Validate data pipelines:
— DB-level checks
— event/log consistency (missing events, out-of-order, wrong states)
— negative testing and edge cases
— event/log consistency (missing events, out-of-order, wrong states)
— negative testing and edge cases
- Create regression suites for ML/LLM/CV outputs:
— golden datasets, score thresholds, “no-quality-drop” gates in CI
— reproducible test artifacts and versioned baselines
— reproducible test artifacts and versioned baselines
- Own CI/CD quality gates:
— run tests on PRs, staging, scheduled runs
— block releases on critical regressions, reduce flaky tests
— block releases on critical regressions, reduce flaky tests
Senior AI Engineer
What you’ll do
- Own the end-to-end lifecycle of AI features: from idea and system design to deployment and monitoring.
- Build and improve RAG-based solutions for product catalogs and listings.
- Develop and enhance image-based search and visual similarity systems.
- Continuously improve ranking and reranking subsystems to boost relevance and search quality.
- Design and develop visual AI agents capable of understanding images and interacting with tools and structured outputs.
- Define and run quality evaluation frameworks for search and assistant systems.
- Optimize performance, latency, and cost of AI solutions.
- Collaborate closely with product, backend, and infrastructure teams.
Open positions