Senior Ai Engineer

PwC

Prague, Czech Republic
Fair salary; not specified; benefits: 30 days pto,...
Hybrid - 2 days in the prague office, 3 days remote
Python programming with fastapi
Llm application development experience
Rag architectures and vector databases
PwC is seeking a Senior AI Engineer for its Data Analytics & Artificial Intelligence team in Prague, Czech Republic. The role involves designing and implementing AI pipelines and LLM applications while promoting responsible AI practices in a hybrid work environment

Job Summary

  • The team combines deep technical expertise with strong industry understanding to help organizations make informed, data-driven decisions using advanced AI and machine-learning capabilities.
  • Candidates will partner with engineers and domain experts to design, build, and optimize AI systems using modern LLM technologies and cloud-native platforms.
  • Benefits include a stable challenging environment, 30 days of paid time off, high-end hardware, and support for technical certifications and education.

Matching Summary

Match Score: 85

PwC is seeking a Senior AI Engineer for its Data Analytics & Artificial Intelligence team in Prague, Czech Republic. The role involves designing and implementing AI pipelines and LLM applications while promoting responsible AI practices in a hybrid work environment.

Salary

Fair salary; Not specified; Benefits: 30 days PTO, 3 wellbeing days, 2 extra days off, 45,000 points program, high-end Ultrabook and iPhone

Skills & Requirements

Must-have

  • Python programming with FastAPI
  • LLM application development experience
  • RAG architectures and vector databases
  • AI orchestration frameworks like LangChain
  • Cloud-native development on Azure
  • CI/CD pipelines and Docker usage

Nice-to-have

  • Experience with global multinational teams
  • Deep learning and computer vision knowledge
  • Agile methodologies like Scrum or Kanban
  • Proficiency in Czech language
  • Interest in behavioral economics
  • Active GitHub profile presence

Key Requirements

  • Bachelor's or Master's degree in Computer Science or Data Science
  • Strong software engineering skills in Python
  • Practical knowledge of RAG architectures and embedding models
  • Familiarity with cloud-native development preferably Azure
  • Very good command of English spoken and written

Work Rights

Not specified

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