Embedded AI Engineer for Secure Connectivity

Giesecke+Devrient

Barcelona

Hybride

EUR 52 000 - 76 000

Plein temps

Il y a 10 jours

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Avantages offerts par ce poste

Flat hierarchy
Global collaboration
Career development
Private insurance
Canteen
Flexible hours
Sant Joan Despí location

Résumé du poste

G+D Mobile Security in Barcelona is seeking an AI Engineer to design and implement AI solutions for embedded software, collaborating with software developers, system architects and product owners to ensure quality and reliability.

You will contribute to AI strategy, develop use cases, analyze results, and improve development processes. The role offers a hybrid work model and the chance to impact secure digital connectivity.

Qualifications

  • Bachelor’s or Master’s degree in CS, Telecommunications Engineering, or related field.
  • Proven experience in AI solutions and agent orchestration.
  • Strong knowledge of large language models and cloud AI architectures.
  • Experience in Java full stack development.
  • Proficiency in scripting and programming languages (e.g., Python, C/C++).
  • Excellent analytical and problem-solving skills.
  • Strong communication and teamwork abilities.
  • Fluent in written and spoken English.

Responsabilités

  • Contribute to the R&D AI strategy definition and operation.
  • Design and implement AI use cases and agent orchestration for embedded software developments.
  • Analyze AI solution results, identify root causes of failures, and work with development teams to increase value of AI solutions.
  • Contribute to continuous improvement of SW development process, tools, and methodologies.
  • Maintain AI solution documentation and generate KPIs and reports for internal stakeholders.

Connaissances

AI solutions
Language models
Java full stack
Python
C/C++
Analytical thinking
Teamwork
English fluency

Formation

Bachelor’s or Master’s in CS or Telecommunications

Outils

Git
CI/CD
JIRA/Confluence

Description du poste

G+D Mobile Security in Barcelona is seeking an AI Engineer to design and implement AI solutions for embedded software, collaborating with software developers, system architects and product owners to ensure quality and reliability.

You will contribute to AI strategy, develop use cases, analyze results, and improve development processes. The role offers a hybrid work model and the chance to impact secure digital connectivity.

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