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CogniverseAI

Careers

Build the systems enterprises decide with.

Close to clients, close to production.

Overview

A small team on enterprise data, BI, AI and decision systems.

The work is close to clients and close to production: you baseline a real organization, build on its real data, and hand over something its team runs. What repeats across engagements becomes technology, so the engineering compounds.

Who we hire

Four profiles, one standard: it has to run in production.

  • AI and data engineering

    You build models, agents and the pipelines that feed them, and you care whether they run every day on real data with someone accountable for the output.

  • Data engineering and architecture

    You design warehouses and lakehouses, integrate systems that were never meant to agree, and leave behind documentation people actually use.

  • BI and analytics

    You turn a governed data layer into KPI dictionaries, semantic models and dashboards that leadership teams trust and use in meetings.

  • Solutions and transformation

    You work directly with client teams to baseline where they stand, prioritise what to build, and carry a programme from diagnostic to handover.

How we hire

Three steps, no theatre.

  1. 1

    A structured call

    Thirty minutes on what you have built, what you want to build, and whether the work here fits.

  2. 2

    A working session on a real problem

    We share the problem in advance. You bring your thinking. No whiteboard puzzles, no surprises.

  3. 3

    A decision within a week

    We tell you where we landed and why, whichever way it goes.

How to apply

Send a note and a CV.

Send a short note and a CV or a link to your work to the address below, with the subject line “Careers”. Tell us which of the four profiles is closest to you.

info@cogniverseai.net

Talk to us about joining.

Tell us what you have built and what you want to build next. We read every message and reply within two business days.

  1. 01

    Send a message

    Tell us what you are trying to decide and what your data looks like today.

  2. 02

    A 60-minute conversation

    Where your decisions are made today, what they rest on, and where the gaps are.

  3. 03

    A written summary you keep

    What we heard, what we would look at first, and what an engagement could look like.