AI Software Engineer - LLM/RAG in Production ML

CHAMP Cargosystems; Barcelona; In loco; EUR 55.000 - 75.000; Tempo pieno

Descrizione del lavoro

CHAMP Cargosystems is seeking a Software Engineer to integrate AI-powered features into CHAMP products and platforms. You will work with senior engineers on architecture and hands-on AI implementations using Python and production-grade APIs.

You will contribute to LLM-based workflows, RAG pipelines, and AI/ML integration strategies while collaborating with product owners and business analysts to deliver scalable solutions.

Competenze

• Bachelor's degree or equivalent practical experience in CS/Engineering.
• 2-4 years of professional software development experience.
• Proven experience building AI/ML features in production or side projects.
• Solid Python programming and API design skills.
• Strong fundamentals in software engineering: testing, version control, maintainable code.

Mansioni

• Build and ship AI-powered features: LLM workflows and analytics on cargo data.
• Contribute to AI/ML integration architecture for CHAMP products.
• Develop production-grade APIs and services exposing AI functionality.
• Collaborate with product owners to translate requirements into solutions.
• Contribute to AI engineering practices: evaluation, testing, monitoring, deployment.

Conoscenze

Python

API design

Testing

Version control

AI/ML features

Docker

OpenShift/Kubernetes

Java/Spring Boot

Angular

SCRUM

curiosity

Formazione

Bachelor's degree in Computer Science/Engineering

Strumenti

Docker

OpenShift

Kubernetes

GitLab CI

Java/Spring Boot

Angular

Descrizione del lavoro

CHAMP Cargosystems is seeking a Software Engineer to integrate AI-powered features into CHAMP products and platforms. You will work with senior engineers on architecture and hands-on AI implementations using Python and production-grade APIs.

You will contribute to LLM-based workflows, RAG pipelines, and AI/ML integration strategies while collaborating with product owners and business analysts to deliver scalable solutions.