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Antares Solutions

AI Automation Intern

Reposted 12 Hours Ago
Hybrid
Sydney, New South Wales, AUS
Internship
Hybrid
Sydney, New South Wales, AUS
Internship
As an AI Automation Intern, you will collaborate with leadership to create proof-of-value AI agents focusing on marketing automation and internal operations, delivering tangible results from the start.
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ABOUT ANTARES SOLUTIONS

Antares Solutions is a Microsoft Solutions Partner with Advanced Specialisations in Copilot, AI on Azure, and Analytics on Azure. We help mid-market and enterprise clients build AI capability that actually ships; from proof-of-value agents through to production deployment.


THE ROLE

This is not a typical internship. You will work directly with our Leadership Team to design and build proof-of-value AI agents, starting with marketing automation and expanding into internal operations. Expect real deliverables from day one; not slide decks. This role is based in our Sydney office and you would be working minimum 3 days (Wednesday and Thursday compulsory in office days). This role is suited to penultimate or final year students at University.


Initial focus areas include:

  • Marketing automation - AI-assisted content generation, WordPress publishing, presentation decks, and landing pages
  • Internal operations - resource allocation, reporting, and pipeline analysis

WHAT WE’RE LOOKING FOR

AI Tool Fluency

  • Daily use of frontier LLMs - ChatGPT, Claude, Microsoft Copilot, Gemini; with a clear point of view on which to reach for and when
  • Habit of trying new model releases and feature drops in the same week, not reading about them later

Hands-On with Agent & Automation Platforms

You’ve built something, however small with at least one of the following:

  • Microsoft Copilot Studio or Power Automate / Power Platform
  • n8n, Make, or Zapier
  • OpenClaw or Hermes Agent (Nous Research)
  • LangChain, LangGraph, or CrewAI
  • Direct API integration with Anthropic, OpenAI, or Azure OpenAI

Prompt Engineering as a Working Skill

  • Comfortable writing and iterating on system prompts, few-shot examples, and structured output prompts (JSON, XML)
  • Understands when to prompt vs. when to use RAG vs. when to fine-tune
  • Can explain why one prompt works better than another

Curiosity Signals We Want to See

  • A portfolio of small AI projects, hackathon entries, side experiments, or open-source contributions — what you’ve built matters more than your transcript
  • Active engagement with the AI community, newsletters, LinkedIn, Discord, GitHub. You don’t need to be loud, just plugged in
  • A habit of testing multiple tools on the same problem and forming an opinion
  • Willingness to pull apart how something works rather than treating AI as a black box

BONUS EXPOSURE (NICE TO HAVE)

  • Vector databases and RAG patterns - Azure AI Search, Pinecone, Chroma
  • LLM evaluation frameworks - LangSmith, Braintrust, or your own approach
  • MCP (Model Context Protocol) or agent-to-agent protocols
  • Computer-use or browser-automation agents

THE MINDSET TEST

If your instinct when you see a new business problem is “I wonder which AI tool would solve this and how I’d test it” - you’ll fit here.

If your instinct is “what’s the spec, I’ll build it” - this isn’t the right role.

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