SAP
Lead AI Developer(m/w/x)
Full-time/Part-timeOn-siteSenior
Garching bei München
New Job?Nejo!
Your personal AI career agent
SASAP
Senior / Expert AI Developer / Engineer(m/w/x)
Garching bei München
Part-time, Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
Not a perfect match?
- SAP
(Senior) AI Developer(m/w/x)
Full-time/Part-timeOn-siteNot specifiedGarching 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 Governance Architect(m/w/x)
Full-time/Part-timeOn-siteExperiencedGarching bei München - SAP
T2/T3 Kubernetes/ DevOps Engineer for Sovereign Cloud Onsite / ApeiroRA / EU AI Projects(m/w/x)
Full-time/Part-timeOn-siteSeniorBerlin, Garching bei München, Dresden, St. Leon-Rot
SASAP
Senior / Expert AI Developer / Engineer(m/w/x)
Garching bei München
Part-time, Full-timeOn-siteSenior
AI/ML
Data Science
Nejo AI Summary
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
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of SAP and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
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
Lead AI Developer(m/w/x)
Full-time/Part-timeOn-siteSeniorGarching bei München - SAP
(Senior) AI Developer(m/w/x)
Full-time/Part-timeOn-siteNot specifiedGarching 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 Governance Architect(m/w/x)
Full-time/Part-timeOn-siteExperiencedGarching bei München - SAP
T2/T3 Kubernetes/ DevOps Engineer for Sovereign Cloud Onsite / ApeiroRA / EU AI Projects(m/w/x)
Full-time/Part-timeOn-siteSeniorBerlin, Garching bei München, Dresden, St. Leon-Rot