Airbus Defence and Space is looking for a

We are 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.

Located about an hour’s drive north of Munich, Manching is an up-and-coming market town that offers a wide range of leisure and cultural activities. Here, you can enjoy the quality of life in the countryside while the pleasures of near-by cities are still within easy reach.

• 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

AI Integration:

• 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 (Model-View-Controller).

• 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.

AI Development:

• 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.

Software Engineering Best Practices:

• Apply software engineering best practices, including testing, documentation, versioning, and observability.

• Contribute to internal knowledge sharing on LLM and NLP capabilities and best practices.

Data Management:

• 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).

Core Skills:

• 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 (e.g., function calling, tool schemas, adapters, protocols such as MCP or equivalents).

• 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 Skills:

• 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.

• 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; knowledge of other languages is a plus.

In this role, you will have the opportunity to work on challenging and rewarding projects, driving innovation and digital transformation in our organization. If you are passionate about AI and eager to make a significant impact, we encourage you to apply.

Not a 100 match? No worries! Airbus supports your personal growth with customized development solutions.