AI Automation Intern

Job 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.