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.…
What we'd score you on
reqspace match rubricFive 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.
Score yourself on this role.
Free · no card · written explanation included
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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