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Artificial Intelligence Engineer

2 weeks ago

Australia Attalis Capital Full time $90,000 - $120,000 per year

Attalis Capital (Australian private equity business) is building a portfolio of AI-powered automation agents to streamline investor engagement, research, hiring, and operations. We're looking for a sharp, resourceful engineer who can turn high-quality specs into clean, production-grade workflows using n8n, OpenAI, Slack, and modern APIs.

This role is ideal for someone with founder energy—pragmatic, high-output, and driven to improve every iteration.

Who Thrives in This Role

You likely:

  • Have high cognitive horsepower and strong execution — you think fast and build faster
  • Bring a builder's mindset — you're hands-on, bootstrap-oriented, and move fast without breaking things
  • Are curious and ambitious — you like pushing LLMs and agent logic to do more with less
  • Take pride in structuring workflows cleanly, with modularity and long-term maintainability

Who We're Looking For

  • Ability to work remotely with cross-over in Australian time-zones (preferred for time zone + local context)
  • Degree in Computer Science or equivalent, ideally from a top-tier global university
  • Strong real-world experience building automations in n8n or equivalent logic-based tools (e.g., Make, Pipedream)
  • Comfortable with LLM orchestration, vector similarity, prompt chaining, and external API integrations
  • Able to work independently and communicate clearly through Git, Slack, and Notion

Projects You May Work On

Investor Outreach Agent (active)

→ Agent that autonomously discovers, validates, and reaches out to Australian investors using live web search, profile extraction, LLM scoring, CRM tagging, and smart follow-up.

Dual-LLM Deep-Research Agent (next)

→ Multi-round research agent where ChatGPT (prompt architect + evaluator) iterates with Gemini 2.5 (browser + researcher) to produce citation-rich output with hallucination control, Slack delivery, and PDF export.

Intern Review Agent (live)

→ Slack-initiated pipeline that OCRs and scores internship applications using OpenAI, responds via Gmail, stores files in Drive, and allows Slack-based reviewer decisions.

Stack

  • n8n (v1+, Static Data, Slack triggers, queues)
  • LLMs: OpenAI (GPT-4o), Claude, Gemini 2.5
  • Integrations: Slack, Gmail, Sheets, Drive, PhantomBuster, SerpAPI, Pinecone, HTML-to-PDF API

Work Mode

  • Project-based, scoped upfront
  • Day rate with project cap — paid for velocity, not hours

Initial projects ready to go; new agent builds lined up across:

  • Attalis Capital (private equity manager)
  • Kinder Australia (industrial conveyor belts)
  • Vision Intelligence (industrial monitoring)

To Apply

Please send:

  • Examples of agent-style automations or LLM-driven workflows you've built
  • A short note on how you'd approach one of our active projects
  • Your day rate and typical project capacity
  • When you're available to start