AI Automation (LLMs, RAG) Engineer
Skills
About This Role
Overview
Sen your CV across mohammed.sadatgac@gmail.com with below details
1.
Notice period
2.
Current salary
3.
Expected salary
4.
Do you have Transferable IQAMA
Role Purpose
Develop AI-enabled automation aligned with roadmap including automation workflows, AI
assisted reporting, anomaly detection, and enterprise AI integration patterns.
Key Responsibilities
- Develop automation pipelines and workflow automations
- Integrate enterprise AI services (LLM APIs, automation endpoints)
- Develop anomaly detection logic and operational intelligence rules
- Build AI-assisted reporting components aligned with dashboards
- Maintain AI/automation documentation and reproducibility
- Ensure governance-aligned AI implementation (approval where required)
- Support integration of AI outputs into enterprise apps (Frappe, dashboards)
Mandatory Technical Requirements
- Python (ML/automation stack)
- Experience integrating enterprise AI APIs
- Familiarity with RAG architecture concepts
- Automation frameworks and scripting (job scheduling, pipelines)
- Strong integration skills (API-based orchestration)
Minimum Experience
- 8+ years experience
- Proven delivery of AI/automation in enterprise environments
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