AI Engineer (12-Month FTC) — Azure AI & GenAI

The Network Technology Recruitment

Sydney

On-site

AUD 120,000 - 150,000

Full time

2 days ago
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Job summary

The Network Technology Recruitment is seeking an AI Engineer for a 12-month fixed-term contract in Sydney CBD. You will design, develop and implement practical AI and Generative AI solutions across the organisation, identifying use cases and delivering value to multiple teams.

The role offers exposure to modern Microsoft technologies and enterprise systems. Based in harbour-view offices, you will work through the full AI lifecycle—from design to deployment and optimisation—collaborating with

Qualifications

  • 2+ years with .NET/C#, ASP.NET Core, SQL.
  • 1+ year delivering production AI or Generative AI solutions.
  • Experience with LLMs, RAG, AI agents or document intelligence.
  • Experience with REST APIs and microservices.
  • Experience with Azure AI services and Microsoft ecosystem.

Responsibilities

  • Design and implement AI and Generative AI solutions.
  • Develop C#/.NET APIs and microservices.
  • Integrate REST APIs, Microsoft Graph and SharePoint Online.
  • Leverage Azure AI services to deliver capabilities.
  • Build AI evaluation and monitoring frameworks.
  • Support deployment and optimisation of AI solutions.
  • Collaborate with architects, data teams and security.
  • Promote responsible AI practices and governance.
  • Identify new AI use cases and translate business needs into technical solutions.
  • Contribute to adoption of AI technologies across the organisation.

Job description

The Network Technology Recruitment is seeking an AI Engineer for a 12-month fixed-term contract in Sydney CBD. You will design, develop and implement practical AI and Generative AI solutions across the organisation, identifying use cases and delivering value to multiple teams.

The role offers exposure to modern Microsoft technologies and enterprise systems. Based in harbour-view offices, you will work through the full AI lifecycle—from design to deployment and optimisation—collaborating with

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