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AI Engineer

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Hybrid

AI Engineer

Professional Search Group

AI Engineer

Skills

Google Cloud PlatformPythonAIAWSAzure

2 months ago

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Important information


Contract type:

Freelance / Contract

Location:

Melbourne VIC, Australia

Work mode:

Hybrid

Published on:

7 September 2026

What they need


AI Engineer | 6-Month Contract | Melbourne

  • Location: Melbourne, VIC (Hybrid)
  • Work Type: Contract / Temp
  • Classification: Information & Communication Technology > Developers / Programmers
  • Rate: $900 – $1,000 / day

About the RoleWe are seeking a skilled AI Engineer for a 6-month contract based in Melbourne. You will drive the development and deployment of production-grade AI agents and Generative AI solutions that tackle practical business challenges.
In this hands-on contract role, you will bridge the gap between cutting-edge LLMs and robust enterprise architecture - building autonomous agents, orchestrating integrations, and establishing essential governance and monitoring frameworks.

Key Responsibilities

  • Develop AI Agents: Architect and deploy custom AI agents that solve complex, real-world business problems.
  • Enterprise Integration: Connect AI models and agent workflows with enterprise systems, APIs, and data repositories.
  • Testing & Governance: Implement evaluation loops, latency/cost monitoring, guardrails, and security governance for safe deployment.
  • Stakeholder Collaboration: Work closely with cross-functional teams to deliver secure, reliable, and production-ready AI products.

Key Requirements

  • Generative AI & Agent Orchestration: Hands-on experience building GenAI solutions, leveraging RAG, prompt design, and frameworks (e.g., LangChain, LlamaIndex, AutoGen).
  • Core Technical Stack: Advanced Python programming along with strong API design and systems integration skills.
  • Cloud & Enterprise: Experience deploying AI applications within cloud environments (AWS, Azure, or GCP).
  • Communication: Outstanding problem-solving ability with clear stakeholder communication skills.

Desirable Experience

  • Background working within Higher Education or large institutional settings.
  • Experience with vector databases, fine-tuning, or open-source LLM deployments.

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