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

Paralucent; Ireland; Remote; EUR 90,000 - 130,000; Full time

Job summary

Paralucent, a consulting firm, seeks a Senior Consultant – Azure GenAI Backend Engineer to design scalable Generative AI solutions with a strong focus on RAG architectures and Azure-native serverless platforms. You will build backend APIs and services, deploy Azure Functions and Container Apps, and create data pipelines for indexing, embeddings, and retrieval while enforcing security and governance.

This remote role offers a 6-month contract (possible extension) and demands deep expertise in

Qualifications

• Required experience architecting GenAI backends and RAG workflows.

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.

Skills

System design

Communication

Problem solving

Team collaboration

Tools

Azure Functions

Azure Container Apps

Azure OpenAI

Azure AI Search

Terraform

Bicep

Docker

Kubernetes

REST APIs

Python

Java

Job description

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.

Requirements 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 .
• 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.