AI Engineer for the Analytics Plateau Job at Airbus (Manching)

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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AI Engineer for the Analytics Plateau

Job Description

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