UMO
UMO
UMO universitetlar va ish joylari uchun ruhiy salomatlik, neyroxilma-xillik va farovonlik yo‘nalishlarida shaxsiylashtirilgan mentorlik hamda kouching xizmatlarini taqdim etadi. Uning xizmatlari qatoriga ruhiy salomatlik bo‘yicha ixtisoslashgan mentorlik, autizm spektri buzilishi va diqqat yetishmovchiligi hamda giperfaollik buzilishi bo‘lganlar uchun autizm va neyroxilma-xillik yordami, maslahat berish, nogironligi bo‘lgan talabalar uchun nafaqa bo‘yicha yo‘l-yo‘riq, xodimlar uchun superviziya va treninglar, shuningdek universitetdan ishga o‘tish davrida ko‘maklashish kiradi. UMO ko‘p tilli va xalqaro xizmatlarni ham taklif etib, talabalar va xodimlarga ruhiy salomatlik hamda nogironlik bilan bog‘liq muammolarni hal qilish, akademik va kasbiy maqsadlari sari intilishda yordam beradi.

Senior AI Engineer at UMO (Portugal Remote)

Lead the development of production machine learning, LLM, and agentic systems for UMO’s AI-powered fintech platform. Own secure and compliant AI architecture from early prototypes through large-scale deployment.

Tavsif

  • Develop production-grade backend software and services
  • Build dependable asynchronous pipelines that support AI models
  • Create deterministic bridges between agentic behavior and secure, predictable financial operations
  • Translate machine learning research prototypes into stable, high-performance production systems
  • Partner with backend and data engineers to operationalize, monitor, and improve agentic workflows
  • Contribute across retrieval, memory, and orchestration systems
  • Use tools including Cursor, Claude Code, and Copilot in daily development
  • Own critical components of the AI platform and ecosystem
  • Help shape an AI-powered financial product for business owners, artists, and freelancers

Talablar

  • At least five years of experience as a senior engineer
  • Strong foundations in software engineering
  • Hands-on experience designing, building, and scaling production machine learning and AI systems
  • Practical knowledge of modern LLM tools and orchestration frameworks
  • Experience deploying agentic systems to production
  • Experience with semantic search and retrieval architectures
  • Experience evaluating production AI systems for quality, cost, and latency
  • Experience using LLMs with personally identifiable and sensitive data in regulated environments
  • Experience delivering AI systems within strict security, compliance, and audit constraints
  • Strong Python programming skills
  • Experience with asynchronous execution models
  • Ability to manage deadlines, own work end to end, and share technical context
  • Fluent written and spoken English
  • Startup experience is preferred
  • Fintech or crypto experience is preferred but not required
  • A track record of deploying live, multi-agent automated workflows is a bonus

Imtiyozlar

  • 24 days of annual leave
  • Dedicated paid sick leave
  • Public holiday observance
  • Two consecutive four-day work weeks each year after the first year
  • Top-of-the-line hardware
  • Home office stipend
  • Dedicated learning budget
  • Clear, accelerated progression toward executive leadership
  • Remote work openness for the right candidate
  • Meaningful influence over product and company direction

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