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One of the first EU startups doing AI inference on a custom-built harness. When we hire, the listing will be on this page - with the actual role, scope, and what the work involves.

What we are building

Context for the kind of problems the team works on. If this sounds like the work you want to do, keep an eye on this page.

01

AI newsroom for modern publishers

A provider-routed AI harness behind a a newsroom platform: 1,400+ source catalog, clustering across outlets, localized synthesis, role-gated review, and plan-gated publishing delivery.

02

Source-grounded by architecture

Source context, confidence, conflicts, and sensitive-topic review built into the workflow. The work is making drafts easier for editors to inspect, challenge, and approve.

03

Integrations

WordPress export on Pro, Business Pro, and Enterprise. Webhook delivery on paid plans. API key management for eligible tenant integrations.

04

Editorial tooling

Story workspace with compose, refinement, revision history, source context, and review state - built for editors, not model-console work.

Role areas

The kinds of roles we will hire when the team grows. Not job listings - just honest context about the work.

Product engineering

Full-stack work on the newsroom platform and the editorial pipeline. Shipping features that editors use daily. Stack details discussed in interview.

AI / ML engineering

The newsroom AI harness - clustering, source-grounded generation, fallback paths, telemetry, and usage metering. Work close to the editorial output the product produces.

Editorial partnerships

Working with publishers, news desks, and wire services to define content scope, attribution rules, and integration setup.

Product design

Newsroom workspace, monitoring UI, and editorial review surfaces - dense, information-heavy screens where clarity matters more than novelty.

What we will publish

When a role opens, the listing will include:

  • 01The function and seniority - not a generic title.
  • 02Core responsibilities as they actually exist, not an aspirational wishlist.
  • 03Work arrangement - remote, hybrid, or on-site, and any location constraint.
  • 04How many interview stages, what each stage assesses, and whether unpaid work trials are involved.
  • 05For newsroom-adjacent roles: whether the work is product, editorial, partnerships, or infrastructure.

Interested in the future?

Use the careers channel to register interest before a role is published. Include the area you work in and any newsroom or editorial context.

hey@ermisai.com
ErmisAI

The AI newsroom for modern publishers. Source intake, same-event clustering, story synthesis, editorial review, and delivery into supported publishing surfaces.

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Your multilingual AI newsroom.