Job Description

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We're building the integration layer for AI inside a fintech's collaboration platform.

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Four engineers. Brand recent team. First crack at wiring collaboration tooling into an AI SDLC - not a legacy system to patch, a layer to define.

What you own n

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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 nn
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 robust generalist with real integration judgment beats a specialist in one vendor's stack.

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J-18808-Ljbffr

📌 Senior Back End Engineer Sydney
🏢 Tekfinder
📍 Sydney