Uberall
Uberall
„Uberall“ yra dirbtiniu intelektu paremta SaaS įmonė, padedanti keliose vietose veikiančiams prekių ženklams valdyti savo matomumą vietinėje paieškoje ir skaitmeniniuose kanaluose. Jos platforma sujungia įmonių profilius, vietos duomenis, atsiliepimus, žinutes, vietinius puslapius, skelbimą socialiniuose tinkluose ir analitiką, todėl rinkodaros ir klientų patirties komandos gali centralizuotai stiprinti matomumą ir įsitraukimą paieškoje, žemėlapiuose, balso paslaugose ir dirbtinio intelekto platformose. „Uberall“ aptarnauja, be kita ko, maisto ir gėrimų, svetingumo bei automobilių pramonės įmones. Tarp jos įrankių yra UB-I dirbtinio intelekto agentas ir „Location Performance Optimization“ funkcijos, taip pat integracijos su CRM, pardavimo vietų ir analitikos sistemomis.

Lead Backend Software Engineer, Generative AI — Uberall, Remote in Hungary

Lead backend development for Uberall’s LLM-powered search products. Build dependable, scalable systems and guide engineering delivery for AI-enabled capabilities.

Aprašymas

  • Own the design and operation of backend services connected to LLMs and AI search platforms
  • Develop rigorous methods for assessing the quality and consistency of generated outputs
  • Make LLM features observable, testable, cost-conscious, and resilient across model and provider changes
  • Help address nondeterminism, latency, rate limits, data quality, and graceful degradation in generative AI systems
  • Track advances in LLMs and AI search and evaluate their practical value
  • Define the architecture for AI search products
  • Lead the delivery of new product capabilities
  • Strengthen the engineering team’s growth and execution
  • Turn customer needs and emerging generative AI techniques into reliable, scalable, maintainable backend services
  • Work closely with Product, Engineering, and other stakeholders

Reikalavimai

  • Hands-on experience building or running production systems that use LLMs, generative AI, or external AI services
  • Knowledge of evaluating and monitoring LLM features beyond conventional deterministic tests
  • Experience creating dependable third-party API integrations that account for cost, latency, rate limits, observability, and provider outages
  • Ability to identify problems suited to AI and distinguish them from those better addressed through conventional software
  • Exposure to prompt management, retrieval-augmented generation, embeddings, vector search, or LLM evaluation frameworks is useful but optional
  • Training foundation models is not part of the role
  • Background in backend engineering and technical leadership

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