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Wallet icon Coin icon Rate 110 000 CZK - 150 000 CZK / month
Timer icon Form of cooperation Full-time / 40% Remote
Briefcase icon Sector Information Technology
Location icon Location Praha
Start date 03.08.2026 - 01.10.2026
Start date 03.08.2026 - 01.10.2026
Technology
  • Kubernetes
  • Python
  • LLM Large Language Model
  • Github
  • Claude
  • Codex
  • RAG (Retrieval-Augmented Generation)
Languages
  • English flag English - active, B2/C1/C2
  • Czech flag Czech - active, B2/C1/C2

Offer description

  • Development and advancement of an advanced platform foundation for reusable AI components and integration of complex, tailor-made solutions for enterprise clients
  • Collaboration in an agile, technically strong team of 3–5 people (architect, AIOps, developer, business) on the design of robust solutions without complex corporate structures
  • Integration of structured data with unstructured sources and solving complex use cases from prototype to production deployment with an emphasis on quality and cost monitoring
  • Design and implementation of components for RAG, context engineering, and orchestration of agent flows using Python, a model-agnostic approach with LiteLLM, Kubernetes, and modern AI assistants
  • Work performance in a hybrid collaboration mode with a ratio of 3 days onsite in Prague and 2 days remote

Requirements

  • Advanced experience with:
    • Development in Python and software engineering (at least 3 years for mid-level, at least 5 years for senior-level)
    • Design and implementation of complex RAG architectures (from chunking and embedding strategy to retrieval, reranking, and quality evaluation)
  • Experience with:
    • Working with LLMs and agentic frameworks, including orchestration of complex flows and agent memory management
    • Practical prompt engineering and context engineering (context structuring, prompt patterns)
    • Actively using AI coding assistants like Claude Code, Cursor, GitHub Copilot in daily practice
    • Working with vector databases and implementing hybrid search (BM25 + vector)
  • Knowledge of:
    • Czech and English at a working level for effective communication within the team and with clients
    • Basic principles of containerization and application deployment
  • Advantageous:
    • Experience with computer vision and working with embedding models for images or video
    • Knowledge of graph databases, GraphRAG, and knowledge graphs for enterprise data
    • Practical experience with fine-tuning (LoRA / QLoRA) and deployment of open-source models
    • Knowledge of guardrails, prompt injection mitigation, and AI safety practices
    • Familiarity with DevOps, Kubernetes, enterprise security, or on-premise deployments
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