Home › Companies › Antares › AI Automation Intern
AI Automation Intern
Antares · Sydney, New South Wales, 2000, Australia · On Site · Active · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Antares |
| Title | AI Automation Intern |
| Normalized title | - |
| Department / team | Operations |
| Location | Sydney, New South Wales |
| Work model | On Site |
| Employment type | Internship |
| Salary | - |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-05-08 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Antares. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Sydney. | Open |
| Department jobs | Active postings in Operations. | Open |
| Work model jobs | Active On Site postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Antares |
| Source | 2830fa45-7b1a-431c-8b59-190989bc8c31 |
| ATS provider | BambooHR |
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.
Full job record
| Job ID | 46a9738cf627f8e11393dc0b9873b607bccfb293 |
| Org ID | 2053c66c-e811-486d-8d98-35ab3c5103d4 |
| Source ID | 2830fa45-7b1a-431c-8b59-190989bc8c31 |
| Board ID | 2830fa45-7b1a-431c-8b59-190989bc8c31 |
| Provider | bamboohr |
| Provider Job Key | 135 |
| Title | AI Automation Intern |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Sydney, New South Wales, 2000, Australia |
| Department | Operations |
| Team | — |
| Employment Type | internship |
| Workplace Type | on_site |
| Remote Policy | — |
| Country | — |
| Region | New South Wales |
| City | Sydney |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://antares.bamboohr.com/careers/135 |
| Apply URL | https://antares.bamboohr.com/careers/135 |
| First Seen At | 2026-05-30 05:45:09Z |
| Last Seen At | 2026-06-06 09:46:22Z |
| Last Checked At | 2026-06-06 09:46:22Z |
| Last Changed At | 2026-05-30 05:45:09Z |
| Inactive At | — |
| Source Posted At | 2026-05-08 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=antares/date=2026-06-06/2026-06-06T09-46-21-524Z-0427b1668fea035bf83a44fe47b0f540bd043ed2531a6c317599c0c3e7c174f8.json |
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"description": "<p><span style=\"color: rgb(30, 83, 163); font-size: 12pt\"><span style=\"font-weight: bold\"><span style=\"color: rgb(224, 62, 45)\">ABOUT ANTARES SOLUTIONS</span><br><br></span></span></p>\n<p>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.</p>\n<p> </p>\n<p><span style=\"color: rgb(224, 62, 45); font-size: 12pt\"><span style=\"font-weight: bold\">THE ROLE<br><br></span></span></p>\n<p>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 <span style=\"font-weight: bold\">minimum 3 days</span> (Wednesday and Thursday compulsory in office days). This role is suited to penultimate or final year students at University.</p>\n<p> </p>\n<p>Initial focus areas include:<br><br></p>\n<ul>\n<li>Marketing automation - AI-assisted content generation, WordPress publishing, presentation decks, and landing pages</li>\n<li>Internal operations - resource allocation, reporting, and pipeline analysis</li>\n</ul>\n<p> </p>\n<p><span style=\"color: rgb(224, 62, 45); font-size: 12pt\"><span style=\"font-weight: bold\">WHAT WE’RE LOOKING FOR<br><br></span></span></p>\n<p><span style=\"font-weight: bold\">AI Tool Fluency<br><br></span></p>\n<ul>\n<li>Daily use of frontier LLMs - ChatGPT, Claude, Microsoft Copilot, Gemini; with a clear point of view on which to reach for and when</li>\n<li>Habit of trying new model releases and feature drops in the same week, not reading about them later<br><br></li>\n</ul>\n<p><span style=\"font-weight: bold\">Hands-On with Agent & Automation Platforms<br><br></span></p>\n<p>You’ve built something, however small with at least one of the following:<br><br></p>\n<ul>\n<li>Microsoft Copilot Studio or Power Automate / Power Platform</li>\n<li>n8n, Make, or Zapier</li>\n<li>OpenClaw or Hermes Agent (Nous Research)</li>\n<li>LangChain, LangGraph, or CrewAI</li>\n<li>Direct API integration with Anthropic, OpenAI, or Azure OpenAI<br><br></li>\n</ul>\n<p><span style=\"font-weight: bold\">Prompt Engineering as a Working Skill<br><br></span></p>\n<ul>\n<li>Comfortable writing and iterating on system prompts, few-shot examples, and structured output prompts (JSON, XML)</li>\n<li>Understands when to prompt vs. when to use RAG vs. when to fine-tune</li>\n<li>Can explain why one prompt works better than another<br><br></li>\n</ul>\n<p><span style=\"font-weight: bold\">Curiosity Signals We Want to See<br><br></span></p>\n<ul>\n<li>A portfolio of small AI projects, hackathon entries, side experiments, or open-source contributions — what you’ve built matters more than your transcript</li>\n<li>Active engagement with the AI community, newsletters, LinkedIn, Discord, GitHub. You don’t need to be loud, just plugged in</li>\n<li>A habit of testing multiple tools on the same problem and forming an opinion</li>\n<li>Willingness to pull apart how something works rather than treating AI as a black box</li>\n</ul>\n<p> </p>\n<p><span style=\"color: rgb(224, 62, 45); font-size: 12pt\"><span style=\"font-weight: bold\">BONUS EXPOSURE (NICE TO HAVE)<br><br></span></span></p>\n<ul>\n<li>Vector databases and RAG patterns - Azure AI Search, Pinecone, Chroma</li>\n<li>LLM evaluation frameworks - LangSmith, Braintrust, or your own approach</li>\n<li>MCP (Model Context Protocol) or agent-to-agent protocols</li>\n<li>Computer-use or browser-automation agents</li>\n</ul>\n<p> </p>\n<p><span style=\"color: rgb(224, 62, 45); font-size: 12pt\"><span style=\"font-weight: bold\">THE MINDSET TEST<br><br></span></span></p>\n<p>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.</p>\n<p>If your instinct is “what’s the spec, I’ll build it” - this isn’t the right role.</p>",
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