Senior Software Engineer Ai

Champ Cargosystems
Madrid, Spain
8 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Code Review Python (Programming Language) Machine Learning OpenShift Software Architecture Recommender Systems Azure Machine Learning Software Engineering
+6 more
Information Security Management System Spring-boot AngularJS Gitlab-ci Information Technology Docker

Job description

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 Innovation & Insights 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 Innovation & Insights team and help shape our AI Hub, 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 SummaryReporting to the Engineering 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.LocationBarcelona, SpainKey ResponsibilitiesCollaborate with project managers, product owners, business analysts, technical support, and engineering teamsDesign, develop, and maintain AI-powered featuresTranslate business requirements into scalable technical solutionsIntegrate machine learning models, recommendation systems, and predictive analyticsBuild and maintain APIs exposing AI functionalityEnsure performance, security, scalability, and maintainabilityParticipate in architectural decisions and enforce coding standardsReview code and mentor junior developersKnowledge, Skills & AbilitiesHands?on experience implementing AI/ML solutionsStrong understanding of software architecture and APIsExperience with Docker and OpenShiftKnowledge of the Air Cargo industry is a major advantageEducation & ExperienceBachelor’s degree in Computer Science, Engineering, or equivalent experience.5+ years of professional software development experienceThe selected candidate may be subject to the provision of an up?to?date (not older than 3 months) criminal record certificate.SecuritySecurity: 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.#J-*****-Ljbffr

Requirements

Experience with Docker and OpenShift Knowledge of the Air Cargo industry is a major advantage Education & Experience Bachelor’s degree in Computer Science, Engineering, or equivalent experience. 5+ years of professional software development experience The selected candidate may be subject to the provision of an up?to?date (not older than 3 months) criminal record certificate.

About the company

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 Innovation & Insights 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 Innovation & Insights team and help shape our AI Hub, 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.

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