Senior Backend Engineer - AI Platform at LinkedIn

Victoria, Victoria, Australia -

Full Time

Start Date

Immediate

Expiry Date

07 Jan, 27

Salary

50000.0

Posted On

09 Oct, 26

Experience

6 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Services

Description

Who we work with Software vendors adding AI workflows into their own product, under their own brand.
Specialist consultants delivering AI process-improvement solutions to their clients.
Enterprises buying the platform directly to build and run their own AI workflows.

The problem A consultant builds a client app in Claude or ChatGPT over a weekend. On Monday the client's leadership loves it. Six weeks later it still isn't signed off, because the client's IT team asked three questions nobody could answer:
Who can see this app, and the data in it?
What happens when the business changes, or the AI model does?
Who maintains it, and how do our people learn to?
Our platform answers them. It runs inside the client's own Azure tenant behind their own logins, so the data never leaves. The workflow and the model can be changed without rebuilding the app or touching the systems underneath. The consultant who built it maintains it on the same platform.
It is in production today for a NSW local government service, a software vendor is taking it to its customers under its own brand, and consultants are selling it to their enterprise clients. You would build the backend that makes those three answers hold as the number of consultants, clients and tenants grows.

What you'd build in the next six months We are launching to consultants in October. Each one builds an app for one of their own clients, and some will take it into production. The backend work behind that:
The CLI and its installers on Mac, Windows and Linux, and the deploy path from Claude Code and Codex.
The services behind the no-code builder: AI connections, document understanding, content extraction.
Multi-tenant hierarchy, identity, permissions and audit logging that hold up in enterprise and government procurement.
Model-agnostic routing, evaluation and monitoring, so a model can be swapped without the app noticing.
Curated per-process context with write-back to the client's systems of record, and connectors to the systems consultants' clients actually run.
Stripe, subscription plans and usage metering.
The reliability and observability work that lets a wave of new users arrive in one month.
You would own features end to end, from technical design to production, and you would set the standard for the engineers around you.

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Responsibilities