EEN-BB

Matchmaking @GITEX AI EUROPE 2026

30 Jun – 3 Jul 2026 | Berlin, Germany

Register
Register
Register

ServiceUpdated on 17 June 2026

RAG Systems & LLM Features That Ship to Production

AI Solutions Architect at Lumos Code

Lahore, Pakistan

About

We build retrieval-augmented generation and LLM-powered features that actually ship and hold up in real use, not just in demos.

What we deliver:

  • Intelligent search and Q&A over your own documents and data

  • Document, knowledge, and content automation

  • The full RAG pipeline: data, embeddings, vector store, retrieval, and prompt design

  • Integration into your existing application and stack

For teams that want trustworthy LLM features in production, with accuracy and reliability built in.

Applies to

  • AI/Robotics
  • Cloud Computing, Data, IoT

Organisation

Lumos Code

Company

Lahore, Pakistan

Similar opportunities

  • Service

    Generative & Agentic AI

    • Consulting
    • Development
    • AI/Robotics
    • Finance & Digital Assets
    • Cloud Computing, Data, IoT

    Evi Brousta

    Communications Director at LIBRA AI Technologies

    Athens, Greece

  • Service

    Document Access Master

    Petr Klika

    Industry leader at AKKODIS

    Zelenec, Czech Republic

  • Service

    Data Engineering & AI-Powered Business Intelligence

    • Consulting
    • Development
    • AI/Robotics
    • Finance & Digital Assets
    • Cloud Computing, Data, IoT

    Evi Brousta

    Communications Director at LIBRA AI Technologies

    Athens, Greece