AI Engineer
Tasks
- Automate workflows and enhance productivity
- Build data ingestion enrichment and retrieval pipelines
- Develop prototype to production AI capabilities
- Embed AI into business workflows and decision making
- Ensure AI solutions meet security compliance and enterprise standards
- Implement AI driven use cases in sales service and aftersales
- Integrate AI capabilities with CRM platforms enterprise APIs and integration layers
- Monitor AI performance cost and output quality
- Promote reusable standardized AI components
- Translate technical requirements into AI solution artifacts
Perks/Benefits
- Breakfasts and Lunches in Office
- Business travel
- Medical insurance
- Paid sick leave
- Paid time off
- Professional development
- Work-life balance
Skills/Tech-stack
Agentic AI | Automation | C# | CRM | Customer Data | Customer Data Platform | Data Enrichment | Data Ingestion | Data Pipelines | Data platform | Dynamics | Enterprise Integration | Node.js | Orchestration | Python | REST APIs | Retrieval-Augmented Generation | Workflow automation
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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