
Full Stack AI Engineer
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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