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AI Software Developer (M,F)

Airbus

Toulouse AreaMid
Sign in to applyVerified 1h ago
Location
Toulouse Area
Work model
On-Site
Level
Mid
Posted
Aug 20, 2026

Skills

AgileCI/CDDockerGenAIGitHugging FaceJavaKubernetesLLMMLOpsMachine LearningPyTorchPythonRESTSpring

About this role

Job Description

Airbus Defence and Space is looking for an AI Software Developer (m/f) to join our Data Management  department based in Toulouse, France . You will be part of a team developing and deploying data engineering software products used in the design of space systems. Our solutions and services are at the heart of numerous business processes across various stages of the space system lifecycle (tendering, design, verification, and validation). As a key player in the company's digitalization strategy, our team is driving innovation in how space data is managed and utilized. You will be involved in the design, development, and maintenance of enterprise software solutions powered by artificial intelligence, Generative AI, and machine learning models. You will play a key role in integrating AI workflows directly into our core Java backend architecture and operationalizing MLOps pipelines. You will join an enthusiastic, dynamic, and innovation-driven team working within a transnational context using the SCRUM methodology. Your working environment: Global capital of aeronautics and European capital for space research, Toulouse is a dynamic city of the southwest of France served by an international airport. Ideally located between the Mediterranean sea and the Atlantic ocean and close to the Pyrenees mountains, it offers plenty of options for outdoor activities! How we care for you: Financial rewards: Attractive salary, agreements on success and profit sharing schemes, employee savings plan abounded by Airbus and employee stock purchase plan on a voluntary basis. Work / Life Balance:   Extra days-off for special occasions, holiday transfer option, a Staff council offering many social, cultural and sport activities and other services. Wellbeing / Health: Complementary health insurance coverage (disability, invalidity, death). Depending on the site: health services center, concierge services, gym, carpooling application. Individual development: Great upskilling opportunities and development prospects  with unlimited access to +10.000 e-learning courses to develop your employability, certifications, expert career path, accelerated development programmes, national and international mobility. At Airbus, we support you to work, connect and collaborate more easily and flexibly.  Wherever possible, we foster flexible working arrangements to stimulate innovative thinking. Your challenge: 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.

Your 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

Listing verified 1h ago. Applications go through the company's official careers site.

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