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Full Stack AI Engineer

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🇦🇺 Melbourne, Victoria, Australia
Posted 20 Apr 2026

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Job description

As a Full Stack AI Engineer, you will be responsible for the end-to-end evolution of our core platform; 482 Visa sponsorship is available for the right candidate. You aren't just building interfaces; you are architecting an AI-native ecosystem. You will bridge the gap between sophisticated LLM integrations (OpenAI, Claude) and production-grade web applications, ensuring that AI features are not just prototypes, but scalable, reliable tools that drive user value.
📋 Core Responsibilities
  • Platform Evolution: Build and evolve a full-stack platform, ensuring architectural integrity and scalability.
  • Backend & API Design: Design robust backend services and APIs using Python (FastAPI) to handle complex logic and third-party integrations.
  • Frontend Excellence: Develop seamless frontend experiences using modern JS frameworks to make AI interactions intuitive.
  • LLM Integration: Architect and implement advanced workflows with OpenAI and Claude, focusing on RAG pipelines and agentic reasoning.
  • Cloud Infrastructure: Manage and deploy services within AWS, ensuring high availability and cost optimisation.
  • Rapid Prototyping: Transition quickly from high-fidelity prototypes to stable, production-ready features.
  • Collaborative Delivery: Pair closely with Product Managers to define the roadmap and coach non-technical users on AI capabilities.


✅ Selection Criteria
  • End-to-End Proficiency: Extensive experience across the entire stack, equally comfortable with database schema design and frontend state management.
  • Delivery Track Record: A history of shipping real-world products to production in fast-paced environments.
  • Engineering Rigour: Solid understanding of API design patterns, microservices, and distributed systems.
  • AWS Capabilities: Practical experience with AWS (Lambda, ECS, RDS, S3).
  • AI Enthusiasm: A deep interest in the evolving AI landscape, specifically around LLM orchestration and vector databases.


💻 The Ecosystem
  • Languages & Frameworks: Python (FastAPI), Modern JS (React/Next.js).
  • AI & Intelligence: OpenAI, Claude, LangChain/LlamaIndex.
  • Data Tier: PostgreSQL, Redis, Databricks.
  • Infrastructure: AWS (Full Suite), Docker, Git.


Job details

EmployerSign in to view the employer name
LocationMelbourne, Victoria, Australia
Posted20 Apr 2026
SalaryNot specified
SponsorshipVisa Sponsored ✓
Categories
Information Technology

Visa sponsorship

482

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