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Airbus

Manufacturer of commercial aircraft, helicopters, defense

Senior Artificial Intelligence Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-timeBucharest, RomaniaNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of proven experience in software engineering and AI implementations.
  • Strong background in Artificial Intelligence principles, deep learning frameworks such as TensorFlow and PyTorch, and Python.
  • Expertise in object-oriented design, SOLID principles, and building secure JSON APIs.
  • Hands-on experience with generative AI frameworks such as LangChain, Google ADK, and vLLM, and vector databases such as Qdrant or Milvus.
  • Deep knowledge of container orchestration such as OpenShift, Docker or Podman, and Helm, and cloud-native infrastructure design.
  • Experience with multi-agent orchestration, productionizing retrieval-augmented generation (RAG) applications, evaluation metrics for retrieval and generation, and prompt engineering at scale.
  • Solid understanding of natural language processing concepts and their application in production.
  • Experience with computer vision algorithms and frameworks.
  • Strong analytical and problem-solving abilities.
  • Customer focus.
  • Results-driven orientation.
  • Ability to collaborate in multicultural environments.

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 multimodal 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 and memory sizing and CUDA optimization for efficient inference workloads.
  • Scout emerging software and AI technologies to continually refine the team's standard technology stack.

Desired Qualifications

  • Knowledge of reinforcement learning, signal processing, or data science.
  • Experience with inference serving technologies such as TensorRT or Triton.

About the Company

Airbus

Manufacturer of commercial aircraft, helicopters, defense

Airbus designs and manufactures a wide range of aerospace products, including commercial airplanes, helicopters, defense systems, and space technologies. Its aircraft and rotorcraft are built with integrated airframes, propulsion, avionics, and digital systems to carry passengers, cargo, or conduct military missions, while its space division covers satellites, orbital infrastructure, launch services, and secure communications. Airbus differentiates itself with an end-to-end portfolio across commercial, defense, and space, a global manufacturing and services network, and a focus on sustainability and digital transformation. Its goal is to enable global mobility and connectivity while reducing aviation’s environmental impact through sustainable aviation and collaborative innovation.

Company size
10,001+
Company stage
IPO
Headquarters
Blagnac, France
Founded
1970

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