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Senior Agentic AI Engineer(m/w/x)
Designing and building production-grade AI and GenAI solutions for next-gen mobility. At least 3 years industrializing AI/ML systems in production required. 6 weeks annual leave, overtime compensation.
Requirements
- University degree in Computer Science, Mathematics, Physics, Engineering or comparable technical field
- At least 5 years professional software engineering experience with strong Python skills
- At least 3 years practical experience building and industrializing AI, GenAI or ML-based systems in production
- Strong understanding of modern AI system design including LLM integration, orchestration, RAG, evaluation, monitoring, APIs and deployment
- Practical experience with cloud-based engineering environments, preferably AWS or Azure, including CI/CD and modern DevOps practices
- Ability to take technical ownership in ambiguous situations and translate complex business problems into scalable AI solutions
- Willingness and proven ability to work across changing domains, teams and use cases
Tasks
- Design and build production-grade AI and GenAI solutions
- Take technical ownership of AI initiatives
- Frame problems and develop architectures
- Implement, evaluate, and roll out AI solutions
- Work in cross-functional teams on diverse use cases
- Build scalable AI systems
- Integrate, orchestrate, and monitor AI models
- Set up guardrails and deployment processes
- Challenge existing solution approaches
- Introduce state-of-the-art AI engineering practices
- Define reusable engineering patterns
- Establish technical standards and best practices
- Support less experienced engineers
- Conduct code reviews
- Provide hands-on technical guidance
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AI
- GenAI
- ML
- LLM
- RAG
- AWS
- Azure
- CI/CD
- DevOps
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 6 weeks annual leave
Competitive Pay
- Overtime compensation
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Diverse Work
- Challenging projects
Learning & Development
- Personal development opportunities
- Professional development opportunities
Job Security
- High job security
Corporate Discounts
- Discounted BMW & MINI conditions
Other Benefits
- Many other benefits
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Senior Agentic AI Engineer(m/w/x)
Designing and building production-grade AI and GenAI solutions for next-gen mobility. At least 3 years industrializing AI/ML systems in production required. 6 weeks annual leave, overtime compensation.
Requirements
- University degree in Computer Science, Mathematics, Physics, Engineering or comparable technical field
- At least 5 years professional software engineering experience with strong Python skills
- At least 3 years practical experience building and industrializing AI, GenAI or ML-based systems in production
- Strong understanding of modern AI system design including LLM integration, orchestration, RAG, evaluation, monitoring, APIs and deployment
- Practical experience with cloud-based engineering environments, preferably AWS or Azure, including CI/CD and modern DevOps practices
- Ability to take technical ownership in ambiguous situations and translate complex business problems into scalable AI solutions
- Willingness and proven ability to work across changing domains, teams and use cases
Tasks
- Design and build production-grade AI and GenAI solutions
- Take technical ownership of AI initiatives
- Frame problems and develop architectures
- Implement, evaluate, and roll out AI solutions
- Work in cross-functional teams on diverse use cases
- Build scalable AI systems
- Integrate, orchestrate, and monitor AI models
- Set up guardrails and deployment processes
- Challenge existing solution approaches
- Introduce state-of-the-art AI engineering practices
- Define reusable engineering patterns
- Establish technical standards and best practices
- Support less experienced engineers
- Conduct code reviews
- Provide hands-on technical guidance
Work Experience
- 5 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AI
- GenAI
- ML
- LLM
- RAG
- AWS
- Azure
- CI/CD
- DevOps
Benefits
Flexible Working
- Flexible working hours
More Vacation Days
- 6 weeks annual leave
Competitive Pay
- Overtime compensation
Bonuses & Incentives
- Christmas bonus
- Profit sharing
Diverse Work
- Challenging projects
Learning & Development
- Personal development opportunities
- Professional development opportunities
Job Security
- High job security
Corporate Discounts
- Discounted BMW & MINI conditions
Other Benefits
- Many other benefits
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
BMW Group
Industry
Automotive
Description
Das Unternehmen bietet spannende Praktika im Bereich Markenerlebnis und Eventmanagement und legt großen Wert auf Gleichbehandlung und Chancengleichheit.
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