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Full Stack AI Engineer

Set Up My Offshore
Department:Backend Developer
Type:REMOTE
Region:Australia
Location:Herston, Queensland, Australia
Experience:Mid-Senior level
Estimated Salary:A$120,000 - A$160,000
Skills:
OPENAIAZURE OPENAILLMRAGNODE.JSPYTHONREACTNEXT.JSMICROSOFT AZURECOSMOS DBPINECONEWEAVIATEAZURE AI SEARCHDOCKERCI/CD
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Job Description

Posted on: May 25, 2026

Job Description This is a remote position. AI & Automation

  • Build AI-powered features using OpenAI, Azure OpenAI, or similar LLMs
  • Develop RAG pipelines, chatbots, copilots, and AI workflows
  • Create prompts, guardrails, and evaluation processes for AI accuracy and safety
  • Improve AI performance, speed, and cost efficiency

Backend Development

  • Build scalable APIs and backend services using Node.js or Python
  • Develop microservices and data processing pipelines
  • Integrate third-party systems and APIs (e.g., Microsoft Dynamics 365)
  • Manage databases, authentication, and secure multi-tenant systems

Frontend Development

  • Develop modern web applications using React and Next.js
  • Integrate AI features into dashboards, chat interfaces, and user workflows
  • Ensure responsive and user-friendly experiences

Cloud & DevOps

  • Deploy and manage applications in Microsoft Azure
  • Work with Azure services such as App Services, Functions, Azure OpenAI, Cosmos DB, and SQL
  • Build CI/CD pipelines and support Docker-based deployments
  • Monitor application performance, reliability, and security

Data & System Design

  • Work with vector databases such as Pinecone, Weaviate, or Azure AI Search
  • Build document ingestion and indexing pipelines
  • Design scalable and secure systems
  • Collaborate with product and business teams on technical solutions

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a related field.
  • Minimum of 3–5+ years of experience in full stack software engineering.
  • Minimum of 1–2+ years of hands-on experience building AI-powered applications or LLM-based systems.
  • Experience building enterprise AI copilots or conversational AI platforms.
  • Exposure to Microsoft Dynamics 365 integrations.
  • Experience with multi-tenant SaaS architecture.
  • Knowledge of AI governance, compliance, and responsible AI practices.
  • Prior experience working in high-growth startup or product-led environments.

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Originally posted on LinkedIn

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