Senior AI Engineer

Senior Artificial Intelligence Engineer (m/f) Airbus Defence and Space is one of the three Divisions of the Airbus Group and Europe’s Number 1 defence and space company. It is the world’s second largest space company and one of the top 10 defence companies globally. Airbus Defence and Space develops and engineers cutting-edge and peerlessly reliable products in the field of defence and space. Its defence and space technologies enable governments and institutions to protect natural resources, societies and individual freedom. www.airbusdefenceandspace.com   A Global leader in Security Projects Airbus Defence and Space stands out amongst its competitors in providing innovative technology and reliable security services. Our aim is to unite three businesses - land and maritime border security, critical national infrastructure protection and site security services - into one thereby, fulfilling the requirements of the security market today and in the future with the latest technology and most attractive service packages. https://airbusdefenceandspace.com/our-portfolio/other-businesses/security-solutions/   Interest group: Artificial Intelligence Contract type/working time: Permanent / Fulltime Working experience: +5 years in any A.I. related domain OR dedicated studies +6 years overall working experience We are seeking a Senior Artificial Intelligence Engineer for Airbus Defence and Space Romania to design, build, integrate, and deploy production-grade software applications powered by AI models. Unlike traditional data science roles focused on model research, this position sits at the intersection of advanced AI and full-stack software engineering. You will transition model proof of concepts into scalable production services, build modern Generative AI pipelines, and manage containerized deployments. From a business perspective, our projects are mostly security-related, in areas like Intelligence / Data Processing / Data Analysis / Surveillance.  Areas of impact : Agentic AI / Generative AI / Artificial Intelligence / Machine Learning / Deep Learning / Natural Language Processing     Key Responsibilities Evaluate technical feasibility, convert client requirements into resilient software architectures with granular features, and formulate precise effort estimates. Design multi-component secure microservice architectures and scalable REST/FastAPI endpoints for AI model serving. Build autonomous agentic systems with complex custom tool usage and advanced multi-modal Generative AI pipelines. Provide technical guidance for specific projects and mentor junior and mid-level engineers. Assist with recruitment interviews and help establish team best practices and coding standards. Manage Kubernetes deployments, construct automated CI/CD pipelines, and oversee containerized application lifecycles. Optimize hardware compute utilization, including GPU/Memory sizing and CUDA optimization for efficient inference workloads. Scout emerging software and AI technologies to continually refine the team's standard technology stack.

Specific knowledge: Mandatory At least 5 years of proven experience in software engineering and AI implementations. Strong background in Artificial Intelligence principles, Deep Learning frameworks (TensorFlow, PyTorch), and Python. Expertise in object-oriented design, SOLID principles, and building secure JSON APIs. Hands-on experience with GenAI frameworks (e.g. LangChain, Google ADK, vLLM) and vector databases like Qdrant or Milvus. Deep knowledge of container orchestration (e.g. OpenShift, Docker/Podman, Helm) and in cloud-native infrastructure design. Multi-agent orchestration, familiarity with productionizing RAG-based applications and evaluation metrics for retrieval and generation., prompt engineering at scale  Solid understanding of Natural Language Processing concepts and their application in production  Experience with Computer Vision algorithms and frameworks