AI-Integrated Java Backend Engineer

Airbus Defence and Space; Toulouse; Sur place; EUR 42 000 - 65 000; Plein temps

Avantages offerts par ce poste

Profit sharing

Employee savings plan

Stock purchase plan

Résumé du poste

Airbus Defence and Space is looking for an AI Software Developer to join our Data Management department in Toulouse. You will design, develop, and deploy data engineering software powered by AI, integrating AI workflows into our Java backend architecture and operationalizing MLOps pipelines.

You will work in a transnational SCRUM team, collaborating with software and data engineers to turn AI prototypes into production-grade microservices, using frameworks like LangChain and PyTorch within a

Qualifications

• Experience in AI development and integration into backend systems.
• Strong Java development skills, REST API design, and Spring Boot experience.
• Hands-on experience with AI frameworks and ML tooling (LangChain, PyTorch, Hugging Face).
• Experience with MLOps practices and containerization (Docker, Kubernetes).
• Familiarity with vector databases for context retrieval.

Responsabilités

• Develop and maintain Java backend services with AI integration.
• Build AI features and RAG workflows using LangChain/LlamaIndex.
• Set up MLOps pipelines for deployment, monitoring, and CI/CD.
• Collaborate with engineers to productionize AI prototypes into microservices.

Connaissances

Java

Spring Boot

REST APIs

AI integration

Python ecosystem

CI/CD

MLOps

Docker

Kubernetes

Version control

Vector databases

Outils

LangChain

LlamaIndex

PyTorch

Hugging Face

MLflow

Weights & Biases

Pinecone

ChromaDB

Qdrant

pgvector

Description du poste

Airbus Defence and Space is looking for an AI Software Developer to join our Data Management department in Toulouse. You will design, develop, and deploy data engineering software powered by AI, integrating AI workflows into our Java backend architecture and operationalizing MLOps pipelines.

You will work in a transnational SCRUM team, collaborating with software and data engineers to turn AI prototypes into production-grade microservices, using frameworks like LangChain and PyTorch within a