Uberall
Uberall
Uberall एक AI-संचालित SaaS कंपनी है, जो बहु-स्थान वाले ब्रांडों को स्थानीय खोज और डिजिटल चैनलों पर अपनी ऑनलाइन उपस्थिति प्रबंधित करने में सहायता करती है। इसका प्लेटफ़ॉर्म व्यावसायिक लिस्टिंग, स्थान संबंधी डेटा, समीक्षाएँ, संदेश, स्थानीय पेज, सोशल मीडिया प्रकाशन और विश्लेषण को एक साथ लाता है। इससे मार्केटिंग और ग्राहक अनुभव टीमों को खोज, मैप्स, वॉइस और AI प्लेटफ़ॉर्म पर दृश्यता और सहभागिता बढ़ाने के लिए एक केंद्रीकृत व्यवस्था मिलती है। Uberall खाद्य एवं पेय, आतिथ्य और ऑटोमोटिव सहित विभिन्न उद्योगों को सेवाएँ प्रदान करती है। इसके समाधानों में UB-I AI एजेंट, Location Performance Optimization क्षमताएँ तथा CRM, पॉइंट-ऑफ़-सेल और विश्लेषण प्रणालियों के लिए इंटीग्रेशन शामिल हैं।

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.

विवरण

  • 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

आवश्यकताएँ

  • 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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