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Wallet icon Coin icon Rate 160 000 CZK - 180 000 CZK / month info
Timer icon Form of cooperation Full-time / 95% Remote
Briefcase icon Sector Information Technology
Location icon Location Praha

info The reward is calculated upon delivery of 20 MD per month (1MD=8h)

Project duration 12 months with the possibility of extension
Period of cooperation 01.09.2025 - 31.08.2026
Start date 01.09.2025 ASAP
Technology
  • MS Azure
  • Python
Languages
  • English flag English - active, B2/C1/C2

Project description

  • Design and development of autonomous or semi-autonomous AI agents using frameworks like LangGraph, Autogen, CrewAI or Bedrock
  • Creation and tuning of prompting strategies to achieve stable agent performance in various scenarios
  • Architecture of end‑to‑end solutions including the integration of vector databases (Azure AI Search, FAISS, Pinecone) with ETL pipelines
  • Management and optimization of NoSQL databases (especially CosmosDB) for working with unstructured and semi‑structured data
  • Collaboration on the integration of AI agents into application interfaces (APIs) and corporate products
  • Monitoring trends and evaluating new models, protocols, and tools in the field of generative AI
  • Ensuring code quality, participation in code review, and adherence to Git/GitHub workflow including CI/CD
  • Evaluating the performance and security of AI agents in various environments

Project requirements

  • Experience with AI systems development in Python
  • Excellent knowledge of object-oriented programming and design of production code
  • Proven experience with prompt engineering for LLM models like GPT, Claude, Gemini or open‑source alternatives
  • Extensive knowledge of AI agent concepts, including memory management, planning, and task automation
  • Practical experience with multi‑agent frameworks like LangGraph (preferred), Autogen, CrewAI
  • Experience with the integration and management of vector databases (FAISS, Pinecone, Azure AI Search, Chroma)
  • Knowledge of ETL processes and data pipelines in both batch and streaming modes
  • Excellent orientation in NoSQL databases, especially CosmosDB
  • Ability to work with Git/GitHub tools (branching, pull requests, Gitflow)
  • Overview of current trends and tools in GenAI (e.g. OpenAI Assistants, Function Calling, LangChain Agents)
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