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Senior AI Engineer - Agentic AI Platform(m/w/x)
Designing multi-agent systems with autonomous planning, orchestrating AI workflows via Azure AI Foundry and GraphRAG at firm integrating AI models into data platforms. Expertise in RAG architectures, vector databases, and multi-agent frameworks essential; German fluency required. Budget for AI training, participation in research projects.
Requirements
- At least 5 years of experience in AI/ML engineering, software architecture, or data-driven product development
- Very good knowledge of Python
- Experience with RAG architectures, vector databases, GraphRAG, prompt engineering, and multi-agent frameworks
- Ability to communicate complex issues to non-technical stakeholders
- Fluency in German and very good English (spoken and written)
Tasks
- Design and implement advanced agent architectures
- Create multi-agent systems with autonomous planning and reflection loops
- Utilize GraphRAG and tool orchestration
- Orchestrate complex workflows using Azure AI Foundry and Microsoft Agent Framework
- Integrate enterprise data via RAG
- Develop monitoring and observability frameworks for agents
- Implement telemetry, logging, and performance evaluations
- Enforce responsible AI principles, including data protection and ethics
- Mentor junior team members and provide technical leadership
- Participate in architecture roadmaps
- Collaborate with customers and management to identify use cases
- Evaluate business benefits of AI solutions
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- Terraform
- Bicep
- Docker
- Kubernetes
Benefits
Flexible Working
- Trust-based working hours
- Flexible working
Learning & Development
- Budget for AI training
Diverse Work
- Participation in research projects
Career Advancement
- Promotion of diversity, equality, and inclusion
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Senior AI Engineer - Agentic AI Platform(m/w/x)
Designing multi-agent systems with autonomous planning, orchestrating AI workflows via Azure AI Foundry and GraphRAG at firm integrating AI models into data platforms. Expertise in RAG architectures, vector databases, and multi-agent frameworks essential; German fluency required. Budget for AI training, participation in research projects.
Requirements
- At least 5 years of experience in AI/ML engineering, software architecture, or data-driven product development
- Very good knowledge of Python
- Experience with RAG architectures, vector databases, GraphRAG, prompt engineering, and multi-agent frameworks
- Ability to communicate complex issues to non-technical stakeholders
- Fluency in German and very good English (spoken and written)
Tasks
- Design and implement advanced agent architectures
- Create multi-agent systems with autonomous planning and reflection loops
- Utilize GraphRAG and tool orchestration
- Orchestrate complex workflows using Azure AI Foundry and Microsoft Agent Framework
- Integrate enterprise data via RAG
- Develop monitoring and observability frameworks for agents
- Implement telemetry, logging, and performance evaluations
- Enforce responsible AI principles, including data protection and ethics
- Mentor junior team members and provide technical leadership
- Participate in architecture roadmaps
- Collaborate with customers and management to identify use cases
- Evaluate business benefits of AI solutions
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- German – Business Fluent
- English – Business Fluent
Tools & Technologies
- Python
- Terraform
- Bicep
- Docker
- Kubernetes
Benefits
Flexible Working
- Trust-based working hours
- Flexible working
Learning & Development
- Budget for AI training
Diverse Work
- Participation in research projects
Career Advancement
- Promotion of diversity, equality, and inclusion
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
paiqo GmbH
Industry
IT
Description
The company develops intelligent solutions integrating AI models and agents into data platforms.
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