Senior AI Engineer: LLMs & Production AI Systems

Zendesk Group

Lisboa

Hybrid

EUR 90.000 - 130.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Hybrid work model
Office in Lisbon

Zusammenfassung

Zendesk Group is seeking a Senior AI Engineer to architect and deploy production-grade AI systems, with a focus on LLMs and agentic workflows. You will bridge deep technical work with business strategy, delivering enterprise-ready AI solutions that scale.

You will design, implement and evaluate end-to-end AI platforms, collaborate with cross-functional partners, and drive adoption through measurable customer outcomes. Hybrid work is available, with in-office collaboration preferred.

Qualifikationen

  • 3+ years in AI engineering, data science or ML-related field.
  • Experience shipping production-grade intelligent systems and AI features.
  • Comfort translating complex AI concepts for non-technical stakeholders.

Aufgaben

  • Lead design, build and deploy production-grade LLM applications and agents.
  • Develop Python services and APIs integrating AI capabilities into web ecosystem.
  • Establish evaluation frameworks and automated feedback loops to measure outcomes.

Kenntnisse

LLM architectures
Python (high-performance)
Agentic design
SQL & data modeling
Back-end API design
Snowflake / dbt / Airflow
React (frontend integration)
Model evaluation & feedback loops

Ausbildung

BA/BS in CS or related
Advanced degree preferred

Tools

Snowflake
dbt
Airflow
Cursor / Claude Code / Copilot
React

Jobbeschreibung

Zendesk Group is seeking a Senior AI Engineer to architect and deploy production-grade AI systems, with a focus on LLMs and agentic workflows. You will bridge deep technical work with business strategy, delivering enterprise-ready AI solutions that scale.

You will design, implement and evaluate end-to-end AI platforms, collaborate with cross-functional partners, and drive adoption through measurable customer outcomes. Hybrid work is available, with in-office collaboration preferred.

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