AI Engineer

Core Skills & Expertise

• Programming: Advanced in Python, with additional experience in no/low-code tools (e.g., n8n).
• AI & Data Science: Specialized in RAG (Retrieval-Augmented Generation), Graph RAG, context engineering, fine-tuning, retrieval optimization, agentic flows and MCP.
• Data Handling: Proficient in document parsing, chunking, tokenization, and multimodal data processing (text, images, tables).
• Databases & APIs: Strong knowledge of SQL, API integration, vector databases, and graph databases .
  
  

• Experience with ERP systems, especially the Priority platform.
• Ability to align AI solutions with real business needs.
• Strong data analysis skills to detect trends, anomalies, and insights.
• Skilled in diagnosing AI issues (e.g., hallucinations) and improving model accuracy.
  
  

• Excellent communicator with the ability to explain technical concepts to non-technical stakeholders.
• Proven track record working across all organization departments.
• Combines innovation with practical, results-oriented thinking.