Job Opportunities API

The Public Ledger of Openings

← Back to the ledger

AI Automation Intern

Antares
CompanyAntares
CategoryData & Analytics
LocationSydney
RemoteOn-site (inferred)
EmploymentNot stated
LevelIntern
SalaryNot stated by the employer
First seen14 Jul 2026 (the employer did not state a posting date)
Last verified9 Aug 2026
SourceEmployer ATS (bamboohr)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
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.