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1 день назад

Senior AI Python Developer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
CR
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Senior AI Python Developer (AI): Designing and enhancing sophisticated agentic AI systems for a cloud-based business intelligence platform with an accent on RAG pipelines, LLM-as-a-judge evaluation, and AI observability. Focus on building scalable Python-based microservices in Kubernetes and transitioning groundbreaking AI solutions into production.

Location: Must be based in or able to work from Prague, Czech Republic (Hybrid)

Company

hirify.global is a cloud-based business intelligence platform that empowers companies to turn raw data into real business impact through AI-native, composable analytics.

What you will do

  • Design and enhance multi-layered agentic AI systems including routers, agents, and monitoring.
  • Develop and optimize RAG pipelines and evaluation frameworks for LLM-based applications.
  • Shape the architecture of AI solutions as they transition into the production phase.
  • Implement and maintain Python-based microservices within a Kubernetes environment.
  • Ensure scalability, performance, and security across the AI infrastructure.
  • Collaborate with cross-functional teams including senior engineers, UX designers, and project managers.

Requirements

  • Must be based in or able to work from Prague, Czech Republic.
  • Proficiency in Python and experience building microservices.
  • Experience with generative AI concepts such as LLM APIs, tool calling, and prompting.
  • Strong background in cloud-based back-end systems and distributed architectures (Kubernetes, Docker, gRPC).
  • Ability to work collaboratively in a dynamic, proactive team environment.
  • Proven ability to quickly learn and understand complex subject matter.

Nice to have

  • Hands-on experience building agentic systems.
  • Knowledge of Prompt engineering, LLM Ops, and RAG frameworks.
  • Experience with CI/CD development practices.
  • Familiarity with data science concepts or ML infrastructure.

Culture & Benefits

  • Hybrid work model with flexible working hours.
  • 25 days of vacation plus personal days.
  • Annual bonus and stock options.
  • Meal contributions and Edenred Cafeteria points.
  • Dog-friendly office environment with snacks and coffee.
  • Comprehensive support including mobile phone tariff, bike storage, and company events.

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