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Malt Strategy
Malt Strategy
Marcus SchiesserMS

Marcus Schiesser

AI Engineer

800 €/Tag
Frankfurt am Main, DE
15+ Jahre
Typescript
JavaScript
Python
artificial intelligence
Data Engineer

Durchschnittliche Reaktionszeit: 1h

Über Marcus

I turn AI models into real, usable systems.

I’ve led teams building AI-driven platforms, maintained and shaped the TypeScript version of LlamaIndex, and opened two development offices in Taiwan with 10+ engineers each.

I’m a top 1% GitHub TypeScript contributor, with sustained open-source impact across production libraries and developer tooling.

My work blends AI integration, full-stack architecture, and developer experience — from backend APIs to open-source SDKs.
I’m passionate about mentoring engineers and designing scalable systems that make AI practical.
Automobilhersteller
Bankwesen & Finanzdienstleistungen
Bildungssysteme, Forschung & Universitäten
E-Commerce
Internet der Dinge (IoT)

  • Englisch

    Muttersprachlich oder zweisprachig

  • Deutsch

    Muttersprachlich oder zweisprachig

Nur remote
Führt Projekte hauptsächlich remote aus

Projekt- und Berufserfahrung

  • LlamaIndex
    AI Engineer
    Juni 2023 - Februar 2026 (2 Jahre und 8 Monate)
    San Francisco, Vereinigte Staaten
    - Core Developer of the RAG/Agent framework LlamaIndexTS
    - Full-Stack Development of LlamaCloud (world’s most accurate agentic OCR and document-specific AI workflows, powering complete enterprise automation)
    artificial intelligence Python Typescript RAG
  • Knowledge Foundation @ Reutlingen University
    University Lecturer
    April 2021 - Mai 2023 (2 Jahre und 1 Monat)
    Teaching backend development module of Professional Software Engineering (M.Sc.) to graduate students
  • Zeppelin Group
    Splunk Specialist
    November 2021 - Juni 2023 (1 Jahr und 7 Monate)
    Munich, Germany
    • Built multiple customer-facing data applications using an innovative cloud native architecture including Splunk Enterprise on Kubernetes
    • Improved Kubernetes support of Splunk's deep-learning solution DSDL
Gesamte Berufserfahrung von Marcus ansehen

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Ausbildung und Abschlüsse

  • Deep Learning Specialization Sequence Models Structuring Machine Learning Projects Python and Statistics for Financial Analysis
    Deep Learning Specialization Sequence Models Structuring Machine Learning Projects Python and Statistics for Financial Analysis
  • Master of Business Administration (MBA)
    ESB Business School, Reutlingen University
    2006
    Master of Business Administration (MBA)
Ausbildung und Abschlüsse von Marcus ansehen

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