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Wallet icon Coin icon Rate 180 000 CZK - 190 000 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 04.05.2026 - 03.05.2027
Start date 04.05.2026 ASAP
Project duration 12 months with the possibility of extension
Period of cooperation 04.05.2026 - 03.05.2027
Start date 04.05.2026 ASAP
Languages
  • English flag English - active, B2/C1/C2

Project description

  • development of a unique agent platform utilizing AI for analysis, comparison, and planning of migrations between extensive systems like Salesforce or Microsoft Dynamics
  • working in an agile team on scaling the AI layer, designing complex RAG architectures, and orchestrating multi-agent systems using LangGraph
  • utilizing a modern stack built on Python, FastAPI, Neo4j graph databases, and Azure OpenAI running on AKS
  • designing and optimizing hybrid search combining pgvector and full-text in PostgreSQL, including advanced prompt tuning
  • collaboration with experts in the CRM domain to transform complex business rules into LLM model logic
  • leading technical code reviews and mentoring the team in generative AI best practices
  • mode of collaboration in remote mode with the option of occasional meetings at workshops in Prague

Project requirements

  • advanced experience with:
    • developing production systems utilizing LLM (at least 2 years)
    • programming in Python (including asyncio and FastAPI)
    • orchestrating agents using LangGraph or LangChain frameworks
  • experience with:
    • architecture of RAG systems (embedding models, vector databases, reranking)
    • Prompt Engineering for complex data classification and synthesis tasks
    • model evaluation (LLM-as-judge methods, rubric scoring)
    • working with OpenAI API (token management, rate limiting)
  • advanced knowledge of:
    • Azure OpenAI and Azure cloud environment (Managed Identity, AKS)
  • knowledge of:
    • Neo4j graph databases and Cypher query language
    • working with PostgreSQL and the pgvector extension
    • principles of monitoring and observability for AI systems (costs, latency, quality)
  • advantageous:
    • deep domain knowledge of CRM (Salesforce, Microsoft Dynamics)
    • experience with Cohere rerankers
    • advanced academic education in Computer Science or ML
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