Job Title

Context

The Traveler Touchpoints & Experience Engineering team is accountable for defining, developing and operating all the technology necessary to power the online experience of airline travelers. This allows airlines to excel in online retailing through booking, self-service check-in, self-service disruption, and service center touchpoints.

Our line organization regroups 3 mains teams: Product & Platforms, Solution Portfolio Management & Transversal. The Platform organization delivers a common platform and expertise in the creation and operability of Touchpoints. We drive technical transversal programs, deliver key platform enablers, operate the production environment and provide technical expertise for the entire Digital and Nevio organization, and its customers.  

As part of the Platform organization, you will join the SPE team (Software & Product Engine). This team provides technical enablers providing self-service capabilities to Airline Solutions organization. It includes: 

• DevOps tooling and automation

• Deliveries impacting CI/CD 

• Expertise on Nevio and Digital

• Engineering Experience & GenAI in Airlines Solutions to boost efficiency of our working environment.

Mission

Contribute to foster AI efficiency gains within Digital organization by building measurement, tooling, and enablement that make AI assistance (especially GitHub Copilot & Agent Skills) a productivity advantage.

Your contributions will include:

• AI Efficiency through KPI framework
  Contribute to the development of metrics to assess usage of AI.

• Operationalize the open source Prompt Registry and Agent Skills
  Streamline contributions and discoverability, contribute to organization and usage of Prompt Registry and Agent Skills.

• Feedback development
  Contribute to the ecosystem to collect feedback from users and turn them into concrete improvement.

• Sharing & communicate
  Contribute to share your findings and examples (dashboards, before/after stories) via internal posts, demos.

Skills & profile

Must‑haves

• Final‑year engineering school (computer science, data, software)

• Experience with development activities (Git/GitHub), basic data visualization (e.g., Kibana, Power BI…), GenAI usage for development

• Solid in writing and communication in English

• Curiosity, pragmatism, and a builder’s mindset

Nice‑to‑haves

• Familiarity with coding with agentic AI (Github copilot agent, claude code, …) and Instruction Skills concepts

• Experience with prompt engineering, RAG, or evaluation frameworks.

Diversity & Inclusion

Amadeus is an Equal Employment Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or a related medical condition), ancestry, national origin, age, genetic information, military or veterans status, sexual orientation, gender expression, perception, or identity, marital status, mental or physical disability status, or any other protected federal, state, or local status unrelated to performance of work involved.

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