Dein persönlicher KI-Karriere-Agent
AI Engineer for the Analytics Plateau(m/w/x)
Integrating Python components and LLMs into on-premise applications, designing LLM tool interfaces and function-calling schemas. Deep understanding of LLMs and Python software development skills required. 30 days paid vacation, extra days-off for special occasions.
Anforderungen
- Strong Python software development skills
- Deep understanding of LLMs and constraints
- Proficiency in LLM tool interfaces
- Experience with AI model integration
- Familiarity with classic NLP techniques
- Understanding of REST/GraphQL APIs
- Knowledge of containerization and orchestration
- Experience with graph databases (desirable)
- Exposure to vector stores (desirable)
- Understanding of LLM evaluation strategies (desirable)
- Familiarity with cloud platforms (desirable)
- Knowledge of AI ethics (desirable)
- B.Sc., M.Sc. in Computer Science, or related field
- Proven experience in AI engineering
- Strong Python programming skills
- Excellent problem-solving skills
- Ability to work in a team
- Proficiency in English
- Awareness of compliance risks
- Commitment to act with integrity
Aufgaben
- Integrate Python components and LLMs into on-premise applications
- Design LLM tool interfaces and function-calling schemas
- Implement emerging protocols like MCP or tool adapters
- Collaborate with cross-functional teams on AI integration
- Develop and maintain REST and GraphQL APIs
- Improve AI workflows and error-handling loops
- Apply classic NLP techniques for hybrid approaches
- Build lightweight data pipelines for LLM workflows
- Maintain software testing, documentation, and observability standards
- Share LLM and NLP knowledge with the team
- Model knowledge structures using Neo4j graph databases
- Execute ETL processes for structured and unstructured text
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- MCP
- spaCy
- REST
- GraphQL
- Docker
- Jenkins
- Kubernetes
- Neo4j
- AWS
- Azure
- GCP
Benefits
Attraktive Vergütung
- Attractive salary
- Employee stock options
Boni & Prämien
- Special payments
Mehr Urlaubstage
- 30 days paid vacation
- Extra days-off for special occasions
Weiterbildungsangebote
- Upskilling opportunities
Karriere- und Weiterentwicklung
- International development prospects
Betriebliche Altersvorsorge
- Employer-funded pension
Mitarbeiterrabatte
- Discounted car leasing
- Cooperating company benefits
Sonstige Vorteile
- Special insurance conditions
Öffi Tickets
- Public transport subsidies
Gesundheits- & Fitnessangebote
- On-site medical officer
Gratis oder Vergünstigte Mahlzeiten
- On-site canteen and cafeteria
Kinderbetreuung
- Kindergarten close to site
Flexibles Arbeiten
- Job sharing
- Part-time models
- Flexible working hours
- Flexible working arrangements
Workation & Sabbatical
- Individual timeout
Lockere Unternehmenskultur
- Diverse work environment
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AI Engineer for the Analytics Plateau(m/w/x)
Integrating Python components and LLMs into on-premise applications, designing LLM tool interfaces and function-calling schemas. Deep understanding of LLMs and Python software development skills required. 30 days paid vacation, extra days-off for special occasions.
Anforderungen
- Strong Python software development skills
- Deep understanding of LLMs and constraints
- Proficiency in LLM tool interfaces
- Experience with AI model integration
- Familiarity with classic NLP techniques
- Understanding of REST/GraphQL APIs
- Knowledge of containerization and orchestration
- Experience with graph databases (desirable)
- Exposure to vector stores (desirable)
- Understanding of LLM evaluation strategies (desirable)
- Familiarity with cloud platforms (desirable)
- Knowledge of AI ethics (desirable)
- B.Sc., M.Sc. in Computer Science, or related field
- Proven experience in AI engineering
- Strong Python programming skills
- Excellent problem-solving skills
- Ability to work in a team
- Proficiency in English
- Awareness of compliance risks
- Commitment to act with integrity
Aufgaben
- Integrate Python components and LLMs into on-premise applications
- Design LLM tool interfaces and function-calling schemas
- Implement emerging protocols like MCP or tool adapters
- Collaborate with cross-functional teams on AI integration
- Develop and maintain REST and GraphQL APIs
- Improve AI workflows and error-handling loops
- Apply classic NLP techniques for hybrid approaches
- Build lightweight data pipelines for LLM workflows
- Maintain software testing, documentation, and observability standards
- Share LLM and NLP knowledge with the team
- Model knowledge structures using Neo4j graph databases
- Execute ETL processes for structured and unstructured text
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- MCP
- spaCy
- REST
- GraphQL
- Docker
- Jenkins
- Kubernetes
- Neo4j
- AWS
- Azure
- GCP
Benefits
Attraktive Vergütung
- Attractive salary
- Employee stock options
Boni & Prämien
- Special payments
Mehr Urlaubstage
- 30 days paid vacation
- Extra days-off for special occasions
Weiterbildungsangebote
- Upskilling opportunities
Karriere- und Weiterentwicklung
- International development prospects
Betriebliche Altersvorsorge
- Employer-funded pension
Mitarbeiterrabatte
- Discounted car leasing
- Cooperating company benefits
Sonstige Vorteile
- Special insurance conditions
Öffi Tickets
- Public transport subsidies
Gesundheits- & Fitnessangebote
- On-site medical officer
Gratis oder Vergünstigte Mahlzeiten
- On-site canteen and cafeteria
Kinderbetreuung
- Kindergarten close to site
Flexibles Arbeiten
- Job sharing
- Part-time models
- Flexible working hours
- Flexible working arrangements
Workation & Sabbatical
- Individual timeout
Lockere Unternehmenskultur
- Diverse work environment
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Airbus Defence and Space GmbH
Branche
Aerospace
Beschreibung
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
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