Backend Developer Azure & AI Automation Platform

Title: Backend Developer Azure & Agentic AI Platform
Location: Remote (open to Canada/USA)
Type: Long-term Contract

About the Role:

Join one of our premier consulting clients as a Backend Developer, contributing to the build-out of a next-generation AI and Automation platform on Microsoft Azure. In this role, you'll design, develop, and scale backend services and APIs that power intelligent data workflows, AI agents, and enterprise-grade user experiences across a modern cloud ecosystem.

Key Responsibilities:

• Design and deploy secure, scalable backend services using Node.js and Azure App Services.

• Build and maintain REST APIs and microservices supporting AI workflows.

• Integrate LLM APIs and LangChain frameworks to enable Agentic AI capabilities.

• Work with data from structured, semi-structured, and unstructured sources.

• Collaborate with data engineering teams on ingestion, mapping, and extraction pipelines.

• Implement DevOps best practices for CI/CD, testing, and version control.

Required Skills & Qualifications:

• 5+ years in backend development with strong Node.js experience.

• Proficiency in Azure App Services, RESTful APIs, and microservice architecture.

• Experience with PostgreSQL and at least one NoSQL database (CosmosDB, MongoDB, DynamoDB, or equivalent).

• Hands-on experience integrating LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.).

• Working knowledge of LangChain for AI agent development.

• Familiarity with Python for AI or data processing integrations.

• Understanding of CI/CD pipelines, Git, and Azure DevOps.

Preferred:

• Exposure to Azure Data Factory, Azure Blob Storage, and data ingestion pipelines.

• Experience with Docker / Kubernetes and Infrastructure as Code (IaC).

• Knowledge of data security, privacy, and compliance best practices on Azure.

Why Join:
Be part of a high-impact platform team driving AI-powered automation for enterprise clients across North America. This role offers deep technical challenges, collaboration across AI and data disciplines, and long-term career visibility.