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Airbus Logo Airbus · IT - Software Development

AI Engineer for the Analytics Plateau

Germany, Manching · Job Posted February 17, 2026
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Job Description

Airbus Defence and Space is looking for a skilled and innovative AI Integration and Development Engineer to join our team. In this role, you will primarily focus on integrating cutting-edge AI solutions, particularly Large Language Models (LLMs) and Natural Language Processing (NLP) techniques, into our existing systems. Additionally, you will contribute to the development of new AI-driven features and applications.

Job Responsibility

  • Integrate Python-based components and LLMs into on-premise applications in restricted environments
  • Design and implement LLM tool interfaces, such as function-calling schemas, tool adapters, or emerging protocols like MCP
  • Collaborate with cross-functional teams to ensure seamless integration of AI components into existing systems
  • Develop and maintain APIs (REST/GraphQL) for AI model interaction and integration
  • Implement and improve AI workflows, including model prompting, tool usage, evaluation, and error-handling loops
  • Utilize classic NLP techniques (e.g., tokenization, tagging, parsing, entity extraction) when deterministic or hybrid approaches are required
  • Build and maintain lightweight data pipelines or preprocessing scripts for structured and unstructured data used in LLM workflows
  • Apply software engineering best practices, including testing, documentation, versioning, and observability
  • Contribute to internal knowledge sharing on LLM and NLP capabilities and best practices
  • Utilize graph databases, such as Neo4j, for knowledge structures or relationship modeling
  • Work with data using basic data engineering concepts (ETL/ELT, preprocessing, handling structured/unstructured text)

Requirements

  • B.Sc. or M.Sc. in Computer Science, Artificial Intelligence, Data Science, or a related field
  • Proven experience in AI engineering, with a focus on integrating and developing LLMs and NLP solutions
  • Strong programming skills in Python and familiarity with other relevant languages
  • Excellent problem-solving skills and the ability to work in a team environment
  • Proficiency in English
  • Strong Python software development skills, including code quality, testing, debugging, and modular design
  • Deep understanding of LLMs, their limitations, constraints, and the ability to design agentic workflows
  • Proficiency in LLM tool interfaces and understanding of how models interact with external systems
  • Experience with AI model integration, deployment, and monitoring in production environments
  • Familiarity with classic NLP techniques and tools, such as spaCy, for hybrid or deterministic components
  • Sound understanding of REST/GraphQL APIs, microservice interaction, and integrating AI components into existing systems
  • Knowledge of containerization and orchestration tools, such as Docker, Jenkins, and Kubernetes

Nice to have

  • Experience with graph databases (e.g., Neo4j) for knowledge modeling
  • Exposure to vector stores, embeddings, or retrieval pipelines
  • Understanding of evaluation strategies for LLM-based systems
  • Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their AI/ML services
  • Knowledge of AI ethics, fairness, and interpretability principles and practices
  • knowledge of other languages is a plus

What we offer

  • Attractive salary and special payments
  • 30 days paid vacation and extra days-off for special occasions
  • Excellent upskilling opportunities and great international, group wide development prospects
  • Special benefits: employer-funded pension, employee stock options, discounted car leasing, special conditions for insurances, subsidies for public transport, employee benefits at cooperating companies
  • On-site-facilities: Medical officer for check-ups and other health-related services, canteen and cafeteria, kindergarten close to the site
  • Compatibility of family & work (job sharing, part-time models, flexible working hours, individual timeout)
  • Working in a diverse environment, with more than 140 nationalities, where every voice is heard
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