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Senior / Expert AI Developer / Engineer(m/w/x)
Designing and deploying AI/genAI services on SAP platforms. Advanced Python/Java coding skills and backend framework experience required. Constant learning and skill growth opportunities.
Requirements
- Degree in computer science or similar
- Advanced Python or Java coding skills
- Solid understanding of software engineering principles
- Experience with backend frameworks (FastAPI, Flask, Django)
- Experience with microservice architectures
- Familiarity with containerization tools (Docker, Kubernetes)
- Familiarity with orchestration tools (GitHub Actions, MLFlow)
- Experience with multi-agent or generative AI frameworks (LangChain, CrewAI)
- Experience with AI models
- Experience implementing CI/CD pipelines in cloud environments (Azure ML, Databricks, AWS)
- Experience implementing MLOps pipelines in cloud environments (Azure ML, Databricks, AWS)
- Hands-on experience with data ETL
- Hands-on experience with APIs
- Hands-on experience with model deployment workflows
- Knowledge of distributed systems
- Knowledge of data platforms for big data
- Understanding of Agile methodologies
- Understanding of SAFe methodologies
- Understanding of collaborative engineering practices
- Fluent English
- Proactive, problem solving mindset
Tasks
- Design and develop AI and (gen)AI services
- Deploy AI solutions from proof of concept to production
- Build and maintain data pipelines
- Develop model deployment workflows
- Implement CI/CD and MLOps practices
- Automate model training, testing, and deployment
- Collaborate with Product Owners and data scientists
- Translate requirements into technical specifications
- Develop multi-agent AI and LLM-based products
- Ensure reliability and observability of AI solutions
- Maintain compliance of deployed AI systems
- Guide and mentor junior colleagues
- Foster AI engineering excellence across teams
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Fluent
Tools & Technologies
- Python
- Java
- FastAPI
- Flask
- Django
- Docker
- Kubernetes
- GitHub Actions
- MLFlow
- LangChain
- CrewAI
- Azure ML
- Databricks
- AWS
Benefits
Learning & Development
- Constant learning
- Skill growth
Other Benefits
- Great benefits
- Health and well-being focus
- Accessibility accommodations
Mentorship & Coaching
- Team growth support
Informal Culture
- Inclusion culture
Flexible Working
- Flexible working models
Not a perfect match?
- SAPFull-time/Part-timeOn-siteNot specifiedGarching bei München
- SAP
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Senior / Expert AI Developer / Engineer(m/w/x)
Designing and deploying AI/genAI services on SAP platforms. Advanced Python/Java coding skills and backend framework experience required. Constant learning and skill growth opportunities.
Requirements
- Degree in computer science or similar
- Advanced Python or Java coding skills
- Solid understanding of software engineering principles
- Experience with backend frameworks (FastAPI, Flask, Django)
- Experience with microservice architectures
- Familiarity with containerization tools (Docker, Kubernetes)
- Familiarity with orchestration tools (GitHub Actions, MLFlow)
- Experience with multi-agent or generative AI frameworks (LangChain, CrewAI)
- Experience with AI models
- Experience implementing CI/CD pipelines in cloud environments (Azure ML, Databricks, AWS)
- Experience implementing MLOps pipelines in cloud environments (Azure ML, Databricks, AWS)
- Hands-on experience with data ETL
- Hands-on experience with APIs
- Hands-on experience with model deployment workflows
- Knowledge of distributed systems
- Knowledge of data platforms for big data
- Understanding of Agile methodologies
- Understanding of SAFe methodologies
- Understanding of collaborative engineering practices
- Fluent English
- Proactive, problem solving mindset
Tasks
- Design and develop AI and (gen)AI services
- Deploy AI solutions from proof of concept to production
- Build and maintain data pipelines
- Develop model deployment workflows
- Implement CI/CD and MLOps practices
- Automate model training, testing, and deployment
- Collaborate with Product Owners and data scientists
- Translate requirements into technical specifications
- Develop multi-agent AI and LLM-based products
- Ensure reliability and observability of AI solutions
- Maintain compliance of deployed AI systems
- Guide and mentor junior colleagues
- Foster AI engineering excellence across teams
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Fluent
Tools & Technologies
- Python
- Java
- FastAPI
- Flask
- Django
- Docker
- Kubernetes
- GitHub Actions
- MLFlow
- LangChain
- CrewAI
- Azure ML
- Databricks
- AWS
Benefits
Learning & Development
- Constant learning
- Skill growth
Other Benefits
- Great benefits
- Health and well-being focus
- Accessibility accommodations
Mentorship & Coaching
- Team growth support
Informal Culture
- Inclusion culture
Flexible Working
- Flexible working models
About the Company
SAP
Industry
IT
Description
SAP innovations help over four hundred thousand customers worldwide work together more efficiently and use business insight more effectively.
Not a perfect match?
- SAP
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Lead AI Developer(m/w/x)
Full-time/Part-timeOn-siteSeniorGarching bei München - XITASO GmbH
Senior AI Engineer(m/w/x)
Full-time/Part-timeOn-siteSeniorAugsburg, Krumbach (Schwaben), Berlin, Erlangen, Leipzig, Münster, München, Karlsruhefrom 76,000 / year - SAP
AI Enablement Specialist(m/w/x)
Full-time/Part-timeOn-siteNot specifiedGarching bei München - SAP
AI Governance Architect(m/w/x)
Full-time/Part-timeOn-siteExperiencedGarching bei München