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Paralucent

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

Reposted One Month Ago
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In-Office or Remote
Hiring Remotely in Toronto, ON, CAN
Senior level
In-Office or Remote
Hiring Remotely in Toronto, ON, CAN
Senior level
Design and implement production GenAI solutions with a focus on RAG and Azure serverless platforms. Build backend APIs, scalable data pipelines for indexing/embedding/retrieval, deploy serverless Azure services, implement CI/CD and IaC, and enforce security, governance, and compliance while collaborating with cross-functional teams.
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Overview

Engagement Type:6 Months contract(can be extended)
Location: Remote

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.

  • Implement CI/CD pipelines for AI systems using Azure DevOps or GitHub Actions.

  • Define and implement system architecture ensuring performance, scalability, and high availability.

  • Apply infrastructure as code using Terraform or Bicep.

  • Collaborate with frontend, data, and AI teams to deliver end-to-end GenAI solutions.

  • Enforce security, governance, and compliance best practices.

Required Skills & Experience

Core GenAI & Architecture

  • Hands-on experience building RAG solutions in production.

  • Strong understanding of LLMs, embeddings, vector search, prompt engineering.

  • Experience with Azure AI Search and Azure OpenAI.

  • Knowledge of agentic workflows (preferred).

Azure & Cloud

  • Strong experience with:

  • Azure Functions

  • Azure Container Apps

  • Azure App Services

  • Azure Storage & Key Vault

  • Solid understanding of Azure networking & identity management.

  • Experience designing serverless architectures.

Backend Development

  • Strong proficiency in Python, Java or node.js.

  • REST API development and microservices.

  • Strong system design capabilities.

DevOps

  • CI/CD pipelines (Azure DevOps / GitHub Actions).

  • Docker & Kubernetes (good to have).

  • Infrastructure as Code (Terraform / Bicep).

Nice to Have

  • AWS exposure.

  • Consulting experience.

  • Experience deploying AI systems in regulated environments.

HQ

Paralucent Toronto, Ontario, CAN Office

Toronto, Canada

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