Contract type/working time: Permanent / Fulltime
Working experience: +5 years in any A.I. related domain OR dedicated studies and +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
· 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
Nice to have
· Reinforcement learning / Signal Processing / Data Science knowledge
· Inference serving (TensorRT/Triton)
Competencies:
· Strong analytical and problem-solving mindset
· Dedicated customer focus
· Results-driven orientation
· Collaborative team player thriving in multicultural environments
· 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.
