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Job Description
Build and implement production-ready AI solutions including LLM pipelines, RAG systems, Conversational AI, and ML services on Azure. Ensure reliability, scalability, and continuous improvement across AI workloads.
Key Responsibilities:
Build and implement production-ready AI solutions including LLM pipelines, RAG systems, Conversational AI, and ML services on Azure. Ensure reliability, scalability, and continuous improvement across AI workloads.
Key Responsibilities:
- Develop modular Python code for LLM, RAG, and ML components.
- Build APIs, orchestration scripts, and integration layers for enterprise apps.
- Implement RAG workflows, vector DB configurations, and prompt engineering.
- Deploy and monitor AI models using containerization and CI/CD pipelines.
- Collaborate with architects and product teams to refine designs and deliverables.
- Data Science on Azure, Generative AI Fundamentals, Machine Learning Solution Design
- Python (Strong) and advanced RAG Workflow experience
- Hands-on with agentic GenAI components and ML pipelines
Key Skills
Ranked by relevance
ai
containerization
machine learning
python
cicd
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- Posted
- Dec 12, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Abu Dhabi
- Company
- Nagarro
Industries
IT Services
IT Consulting
Categories
Engineering
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2026-06-16
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DevOps Engineer - Full-time role
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