Senior Software Engineer – AI

Overview

CHAMP Cargosystems provides the most comprehensive range of integrated IT solutions and distribution services for the air cargo transport chain. The portfolio spans core management systems, messaging services, and eCargo solutions, including applications supporting customs and security requirements, quality optimization, e‑freight, and mobility needs.

CHAMP’s solutions, marketed under the Cargospot and Traxon brands, serve over 200 airlines and GSAs, connecting them with approximately 3,000 forwarders and GHAs worldwide. Headquartered in Luxembourg, CHAMP operates offices in London, Zurich, Frankfurt, Manila, Singapore, and Atlanta.

At CHAMP, you'll build intelligent solutions used across the global air cargo industry. As part of our Cargo Management team, you'll develop AI-powered products, create production-ready AI/ML services, and help drive the next generation of automation through our AI Hub. If you're passionate about software engineering, emerging technologies, and solving complex business challenges, we'd love to meet you.

Join CHAMP’s Cargo Management team and help shape our AI powered products, where agentic AI and RAG-powered automation solve real-world air cargo challenges. Design and deliver intelligent products, integrate AI/ML into production systems, and build scalable APIs powering industry-leading platforms like Cargospot Neo. Work with Java, Spring Boot, Angular, Python, Docker, OpenShift, GitLab CI, and Agile teams to create solutions used across the global air cargo industry.

Role Summary

Reporting to the Principal Product Manager, the Senior Software Engineer designs, develops, and integrates AI-based features into CHAMP products and platforms. The role combines strong software engineering fundamentals with hands-on experience implementing machine learning and AI capabilities in production environments.

Reporting to the Principal Product Manager, the Senior Software Engineer takes ownership of designing, developing, and integrating AI-based features into CHAMP products and platforms — from architectural decisions through production delivery. The role combines deep software engineering expertise with hands-on experience implementing AI capabilities at scale, plus mentoring engineers around them.

Location: Barcelona, Spain

Key Responsibilities

• Design, build, and ship AI-powered features end-to-end — LLM-based workflows (RAG, agentic systems, document understanding) and predictive analytics on operational cargo data
• Own architectural decisions for AI/ML integration into CHAMP products, balancing performance, security, scalability, and maintainability
• Build and maintain production-grade APIs and services exposing AI functionality, integrating with platforms built on Java/Spring Boot and Angular
• Translate ambiguous business requirements into scalable technical solutions, working closely with product managers, business analysts, and engineering teams
• Establish and evolve the AI engineering foundations: evaluation, testing, monitoring, and deployment practices for AI features
• Review code, set technical standards, and mentor engineers — especially on AI/ML-specific practices (prompt engineering, model evaluation, RAG design)

Knowledge, Skills & Abilities:

• Must-Haves:
• Strong proficiency in Python or Java
• Hands-on experience designing and shipping AI/ML-powered features in production (e.g., RAG pipelines, agent frameworks, prompt engineering, vector search, or classical ML deployment)
• Strong understanding of software architecture, API design, and system trade-offs at scale
• Experience with Docker and OpenShift (or Kubernetes)
• Experience mentoring engineers and driving technical/architectural decisions
• Nice-to-Haves:
• Experience with Angular
• Familiarity with GitLab CI and MLOps/GenAI tooling (model serving, vector databases, LLM evaluation frameworks)
• Knowledge of the Air Cargo industry

Education & Experience

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

Employment is subject to satisfactory reference and background checks, where applicable and permitted by local law.

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.