Senior Consultant Azure GenAI Backend Engineer (RAG & Serverless Focus) (PL861)

Torontohybridsenior

Posted 4 days ago · via Recruitee

About this role

Overview Our client in the consulting space is seeking a Senior Consultant – Azure GenAI Backend Engineer to design and implement scalable Generative AI solutions with a strong focus on RAG architectures and Azure-native serverless platforms. This role requires deep expertise in Azure AI services, backend system design, authentication mechanisms, and cloud-native architecture to deliver secure, production-grade AI systems. Key Responsibilities Design and implement RAG-based architectures using Azure OpenAI and Azure AI Search. Develop backend APIs and services to support GenAI applications. Architect and deploy Azure serverless solutions (Azure Functions, Logic Apps, Container Apps). Build scalable data pipelines for indexing, embedding, and retrieval workflows.…

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What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, java, node.js, rest, aws…

2

Level fit

This role is senior-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Toronto. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonjavanode.jsrestawsazurekubernetesdockervaultterraformserverlessgithub actionsopenaigithubteams

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