Senior Ai Engineer

PwC UK

Prague, Czech Republic
Hybrid
End-to-end ai pipelines
Llm-based applications
Reusable ai components
Our team is dedicated to delivering world-class services across data analytics, artificial intelligence, machine learning, and data engineering, combining deep technical expertise with strong industry knowledge to help organizations make informed decisions and unlock the full value of their data

Job Summary

  • Our team is dedicated to delivering world-class services across data analytics, artificial intelligence, machine learning, and data engineering, combining deep technical expertise with strong industry knowledge to help organizations make informed decisions and unlock the full value of their data.
  • Your work will support impactful client solutions while contributing to the development of next-generation AI assets and applications, partnering with engineers, data specialists, and domain experts to design, build, and optimize AI systems using modern LLM technologies and cloud-native platforms.
  • We offer a stable, challenging working environment with opportunities for professional growth, fair salary, flexible working hours, 30 days paid time off, a generous benefit program, and support for education and development, including technical certifications.

Matching Summary

Our team is dedicated to delivering world-class services across data analytics, artificial intelligence, machine learning, and data engineering, combining deep technical expertise with strong industry knowledge to help organizations make informed decisions and unlock the full value of their data.

Skills & Requirements

Must-have

  • end-to-end AI pipelines
  • LLM-based applications
  • reusable AI components
  • prompt strategies and evaluation
  • embedding models and vector databases
  • AI/LLM orchestration frameworks
  • cloud-native development
  • data engineering practices
  • version control, Docker, CI/CD
  • responsible AI practices

Nice-to-have

  • original research and innovation
  • MLOps for deployment and operations
  • global/multinational team experience
  • deep learning, computer vision
  • behavioral economics and data science
  • agile methodologies (Scrum/Kanban)

Key Requirements

  • Bachelor's or Master's degree
  • Strong software engineering skills in Python
  • Hands-on experience building LLM applications
  • Practical knowledge of RAG architectures
  • Experience with AI/LLM orchestration frameworks
  • Familiarity with cloud-native development
  • Understanding of data engineering practices
  • Experience with version control, Docker, CI/CD
  • Very good command of English

Work Rights

Not specified

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