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Software Engineer AI

Reporting to the Engineering Manager  

Location: Spain

Publication Date:  30/05/2026

If you apply, please include your CV.

We are building our AI Hub from the ground up — a new initiative within the Innovation & Insights team that brings agentic AI, RAG-powered automation, and predictive capabilities to the global air cargo industry. You will join the founding team early, with the chance to grow alongside the initiative: building real AI features that ship to production inside industry-leading platforms like Cargospot Neo, while learning directly from senior engineers shaping the architecture. The role will be reporting to Engineering Manager. 

 

Key Responsibilities:

  • Build and ship AI-powered features: LLM-based workflows (RAG, agents, document understanding) and predictive analytics on operational cargo data
  • Develop production-grade Python services and APIs that expose AI functionality to CHAMP products
  • Contribute to the AI Hub's engineering foundations: evaluation, testing, monitoring, and deployment of AI features
  • Integrate AI services with existing platforms built on Java/Spring Boot and Angular, working closely with platform engineering teams
  • Work with product owners and analysts to turn business requirements into working solutions
  • Grow your craft through code reviews, pairing, and architectural discussions with senior engineers
  • Flexibitliy : able to help and work with any other team members.
  • Collaborate with other software engineers in the performance of assigned tasks.
  • Mobility: Depending on the workload, you may travel abroad to work at other company sites (Luxembourg, London, Singapore, etc.).

Knowledge, Skills & Abilities:

Must-Haves:

  • Solid proficiency in Python.
  • Good software engineering fundamentals (API design, testing, version control, and writing maintainable code).
  • Hands-on experience building AI/ML-powered features (ideally LLM-based like RAG pipelines, prompt engineering, agent frameworks, or vector search).
  • Strong curiosity and self-direction.

Nice-to-Haves:

  • Familiarity with MLOps or GenAI tooling (model serving, vector databases, LLM evaluation frameworks).
  • Exposure to classical ML (training or deploying predictive models).
  • Familiarity with Docker and CI/CD pipelines (specifically GitLab CI).
  • Experience with OpenShift or Kubernetes.
  • Experience with Java/Spring Boot or Angular (for surrounding platforms).
  • Knowledge of coding design patterns.
  • Experience with SCRUM practices.
  • Interest in or knowledge of the air cargo and logistics industry.

Our stack

  • Python,
  • Java/Spring Boot and Angular (surrounding platforms),
  • Docker, OpenShift, GitLab CI,
  • Agile teams,
  • MongoDB, Oracle,
  • LLM : openAI

Education and Experience:

  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
  • 2–4 years of professional software development experience.
  • Proven experience building AI/ML features, whether in production, serious side projects, or a previous role.

The selected candidate may be subject to the provision of an up-to-date (not older than 3 months) criminal record certificate.

Our culture and values

We believe happy employees create thriving work environments. With over 500 team members from 32 countries, speaking over 30 languages, CHAMP is a uniquely diverse and welcoming place to work. Our globally minded staff collaborates with clients and vendors worldwide from our offices in London, Zürich, Manila, Atlanta, Singapore, and our Headquarters in the Grand Duchy of Luxembourg.
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Security: the successful candidate will have to comply with CHAMP Security Requirements (including but not limited to CHAMP’s IT Security Policies, especially the ISMS Policy and the Acceptable Use Policy, mandatory courses, confidentiality and data protection, use of company assets, and incident reporting).

  

CHAMP Cargosystems is an equal opportunity employer and prohibits discrimination and harassment of any kind. We are committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, ethnic background, religion or belief, family or parental status, or any other status protected by the laws or regulations in the locations where we operate.

Please note that any personal data that you submit along with your application will be processed by CHAMP and may be processed by any of its global entities as necessary. These data will be treated in strict compliance with the applicable data protection legislation (i.e. the Law of 2 August 2002 on the protection of individuals with regard to the processing of personal data, as amended, and Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016, - the GDPR -, which entered into force on 25 May 2018, as well as any other subsequent regulation).Please follow the link to the CHAMP Candidates Privacy Notice for further information.