Senior AI Engineer / AI Architect (all gender)
Tasks
- Build MVPs and production AI systems
- Build knowledge graph solutions
- Design and implement proof of concept
- Design scalable AI architectures
- Develop AI strategies and business cases
- Develop agent-based AI systems
- Ensure compliance for AI solutions
- Ensure data privacy and security by design
- Identify AI solution opportunities
- Implement LLM applications
- Implement MLOps and LLMOps pipelines
- Implement RAG systems
- Integrate AI systems with APIs
- Lead technical project execution
- Optimize AI systems for scalability and performance
- Set up monitoring and AI governance
- Support sales and presales as an expert
Perks/Benefits
- Bicycle leasing
- Corporate benefits
- Employee fitness benefits
- Flexible working hours
- Green mobility benefits
- Remote work
- Team events
- Unrestricted employment contract
- Wellness program
Skills/Tech-stack
Agentic AI | Amazon Web Services | Automated testing | Azure | CI/CD | Cloud Platforms | Cloud platform | CrewAI | Git | Google Cloud | Google Cloud Platform | Knowledge graphs | Kubernetes | LLMOps | LLMs | Langgraph | Llamaindex | MLOps | Python | RAG | Software Architecture | Vector Databases | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Architect | AI Engineer | AI Solution Consultant | Architect | Consultant | Engineer | Senior AI Engineer | Solution Consultant
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