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Senior Backend Engineer - AI Systems & Platform

LookRoom · Erevan

New
Hybrid Senior 🇬🇧 English
Python Express Node.js TypeScript REST GraphQL SQL NoSQL AWS GCP Azure Docker CI/CD testing observability LLM APIs multimodal AI embeddings vector databases RAG recommendation systems

Job description

About the role

LookRoom AI is building an AI‑powered personal assistant that automates appearance‑related decisions. As a Senior Backend Engineer you will design and implement the core backend systems that connect user context, digital wardrobe data, and AI intelligence.

Key responsibilities

  • Architect and build the personalization and user intelligence layer, handling preferences, wardrobe history, behavior signals and feedback loops.
  • Develop the digital wardrobe infrastructure, including media management, item metadata, outfit relationships and search/retrieval capabilities.
  • Implement AI orchestration platforms that integrate LLMs, multimodal models, routing, validation, cost optimisation and failure handling.
  • Create context‑aware recommendation engines that combine wardrobe data, weather, calendar, occasion and user context.
  • Design learning loops to continuously improve recommendations from user actions and feedback.
  • Integrate external services such as fashion retailers, e‑commerce catalogs, weather and calendar APIs.

Required profile

  • Senior‑level backend engineer with strong architectural decision‑making skills.
  • Comfortable working in a fast‑moving startup environment, turning ambiguous requirements into production‑ready solutions.
  • Ability to explain technical choices to non‑technical stakeholders and collaborate directly with founders.

Required skills

  • Python and/or Express/Node.js/TypeScript.
  • REST and GraphQL API design.
  • SQL and NoSQL database modeling.
  • Authentication/authorization, API security, performance and scalability.
  • Cloud platforms (AWS, GCP or Azure), Docker/containerisation.
  • Caching, asynchronous processing, queues, background jobs, event‑driven architecture.
  • CI/CD pipelines, testing, observability.
  • Experience with LLM APIs, multimodal AI, embeddings, vector databases, RAG and recommendation systems.

Questions fréquentes

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Published 5 hours ago

Expires 1 month from now

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LookRoom

Erevan