Chargement en cours

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

TOULOUSE, 31
il y a 1 jour

Unternehmen

Airbus

Ort

Toulouse

Merken

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

Luft- und Raumfahrt

IT / Informatik

Veröffentlicht seit 24 Tagen

Airbus

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 Lang

Chain, Llama

Index, or Lang

Chain4j 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 (Lang

Chain, Llama

Index, Py

Torch, or Hugging Face).

MLOps & Dev

Ops 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, Chroma

DB, Qdrant, or pgvector) for context retrieval.

Soft Skills: Autonomous, strong problem-solving skills, and comfortable working within a transnational engineering environment. Apply

Apply

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