We're building the integration layer for AI inside a fintech's collaboration platform.
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Four engineers. Brand new team. First crack at wiring collaboration tooling into an AI SDLC - not a legacy system to patch, a layer to define.
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What you own
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- MCP servers, exposed by the collaboration stack, that let agents reach real domain objects instead of just talking.
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- Bots that are actually agents - tool-calling, knowledge-grounded, wired into internal systems that matter.
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- The pipelines and domain-object boundaries a much larger AI platform team builds on top of.
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What you bring
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- Java depth. Not exposure - depth. You make the right call on a Java system without being taught its intricacies.
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- Integration instinct. HubSpot,
Salesforce, Atlassian - the vendor doesn't matter. Knowing how to integrate cleanly with a third-party system does.
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- Discovery before code. You ask what needs to be built before you build it, and you design it structured, not sprawling.
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- Enough AI fluency to grow quick into MCPs, skills, and agents. You don't need to be there yet. You need to actually want to be.
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No Jira or Atlassian background required here. A strong generalist with real integration judgment beats a specialist in one vendor's stack.
📌 Senior Back End Engineer (New South Wales)
🏢 Tekfinder
📍 New South Wales
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