Hiver
Hiver
51 – 200 Xodimlar
B2BSaaSSun’iy intellekt
Hiver bizneslar uchun ko‘p kanalli mijozlarga xizmat ko‘rsatish dasturiy ta’minotini yaratuvchi, sun’iy intellektga asoslangan SaaS kompaniyasidir. Uning platformasi dastlab Gmail uchun mo‘ljallangan yordam xizmati sifatida ishga tushgan va keyinchalik elektron pochta, chat, Slack, ovozli aloqa, WhatsApp hamda o‘z-o‘ziga xizmat ko‘rsatish portallarini boshqarish uchun yagona ish maydoni bo‘lgan Hiver Omni tizimigacha kengaygan. Hiver’ning sun’iy intellekt imkoniyatlariga AI Agents, AI Copilot, AI Help Center, AI Insights va AI QA kiradi. Ular murojaatlarni saralash, javob loyihalarini tayyorlash, ulangan biznes tizimlarida ko‘p bosqichli amallarni bajarish va bilimlar bazasini yuritishni qo‘llab-quvvatlaydi. Mahsulot umumiy kirish qutilari, ichki hamkorlik hamda Salesforce, Shopify va NetSuite kabi vositalar bilan integratsiyalarni birlashtiradi. Hiver mijozlarni qo‘llab-quvvatlash, moliya, IT xizmatlarini boshqarish va inson resurslari jamoalariga xizmat ko‘rsatadi. Kompaniya o‘z platformasidan 10 000 dan ortiq jamoa foydalanishini bildiradi. Uning kengayib borayotgan jamoasi sun’iy intellekt, mijozlar tajribasi, SaaS infratuzilmasi va murakkab qo‘llab-quvvatlash operatsiyalari uchun korporativ dasturiy ta’minot ustida ishlaydi.

Senior Backend Software Engineer III

Senior backend engineer role focused on scaling distributed systems and AI capabilities at Hiver’s customer service platform. Build reliable APIs, model-serving pipelines, and collaborative support features.

Tavsif

  • Scale backend platforms for rapidly increasing traffic and AI workloads
  • Develop low-latency inference and retrieval APIs, caching systems, and model-serving pipelines
  • Strengthen reliability, resilience, and performance across monolithic and microservices architectures
  • Use Kafka and RabbitMQ to create high-throughput, event-driven data pipelines
  • Work with ML and AI teams to deploy embeddings, rerankers, RAG solutions, and evaluation processes
  • Deliver features across backend APIs, domain models, and data pipelines from design through release
  • Embed AI recommendations, copilots, and retrieval-based workflows into the product
  • Partner with product and design teams to create consumer-grade user experiences
  • Build secure, compliant workflows for structured and unstructured customer data
  • Own observability through tracing, metrics, dashboards, feature flags, and SLOs
  • Lead investigation of complex problems spanning frontend, backend, infrastructure, and model pipelines
  • Run postmortems, identify root causes, and implement improvements to engineering processes

Talablar

  • At least five years of experience building and scaling production systems end to end
  • Strong backend development experience with Go, Java, Python, or Ruby on Rails
  • Thorough knowledge of distributed systems, concurrency, performance optimization, and resilience
  • Experience with SQL and familiarity with NoSQL databases and caching systems
  • Exposure to production model serving, including embeddings and inference APIs
  • Strong cloud infrastructure fundamentals, preferably with AWS
  • Experience working with containers and CI/CD pipelines
  • Experience delivering AI systems or features to production is an advantage

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