Position Details
About this role
This role involves architecting and deploying advanced Generative AI and Agentic AI solutions, focusing on RAG pipelines, large language models, and scalable cloud infrastructure.
Key Responsibilities
- Design and deploy Agentic AI systems
- Engineer RAG pipelines
- Lead MLops infrastructure
- Optimize model performance
- Ensure secure AI architecture
Technical Overview
The technical environment includes Generative AI, LLMs, RAG pipelines, MLops, Azure and Google cloud tools, Docker, vector databases, and system security.
Ideal Candidate
The ideal candidate is an experienced AI/ML engineer with expertise in Generative AI, RAG pipelines, and cloud-native deployment using Azure and Google tools. They have a strong background in system architecture, performance optimization, and deploying large language models.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Generative AI or LLMs, No background in cloud-native ML deployment, Unfamiliarity with RAG pipelines, No experience with MLops tools
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