AI Software Developer (m/f/d), Toulouse

Airbus pioneers sustainable aerospace for a safe and united world. The Company constantly innovates to provide efficient and technologically-advanced solutions in aerospace, defence, and connected services. In commercial aircraft, Airbus offers modern and fuel-efficient airliners and associated services. Airbus is also a European leader in defence and security and one of the world's leading space businesses. In helicopters, Airbus provides the most efficient civil and military rotorcraft solutions and services worldwide.

Tasks

• Java Backend & AI Integration: Develop, optimize, and maintain robust backend services in Java (Spring Boot), integrating AI components, LLM orchestration frameworks, and external AI APIs.
• AI Feature Development: Build end-to-end AI applications using frameworks like LangChain, LlamaIndex, or LangChain4j for RAG implementations and autonomous workflows.
• MLOps & Pipeline Management: Set up and maintain MLOps workflows for model deployment, monitoring, CI/CD automation, and dataset management (using tools like MLflow or Weights & Biases).
• System Architecture & Performance: Ensure high reliability, scalability, and security of software systems within the TSEED1 ecosystem.
• Cross-Functional Collaboration: Work closely with software engineers, data engineers, and domain experts to turn AI prototypes into production-grade microservices.

Profile

• At least 1 succesfull experience in AI is needed.
• Java Mastery: Strong proficiency in Java development, object-oriented design, REST APIs, and modern backend frameworks (Spring Boot).
• AI & Python Ecosystem: Hands-on experience with Python and popular AI frameworks (LangChain, LlamaIndex, PyTorch, or Hugging Face).
• MLOps & DevOps Tools: Experience with MLOps practices, containerization (Docker, Kubernetes), version control (Git), and modern CI/CD pipelines.
• Vector Databases & Search: Hands-on experience with vector stores (e.g., Pinecone, ChromaDB, Qdrant, or pgvector) for context retrieval.
• Soft Skills: Autonomous, strong problem-solving skills, and comfortable working within a transnational engineering environment.