Uberall
Uberall
Uberall ir mākslīgā intelekta tehnoloģijās balstīts SaaS uzņēmums, kas palīdz zīmoliem ar vairākām atrašanās vietām pārvaldīt savu klātbūtni vietējā meklēšanā un digitālajos kanālos. Tā platforma apvieno uzņēmumu ierakstus, atrašanās vietu datus, atsauksmes, ziņojumus, vietējās lapas, publicēšanu sociālajos tīklos un analītiku, sniedzot mārketinga un klientu pieredzes komandām centralizētu iespēju veicināt redzamību un iesaisti meklētājos, kartēs, balss pakalpojumos un mākslīgā intelekta platformās. Uberall apkalpo, cita starpā, pārtikas un dzērienu nozari, viesmīlības nozari un autobūves nozari. Tās rīki ietver, piemēram, UB-I mākslīgā intelekta aģentu un Location Performance Optimization funkcijas, kā arī integrācijas ar CRM, tirdzniecības vietu un analītikas sistēmām.

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.

Apraksts

  • 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

Prasības

  • 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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