Careers

Come work on systems where being wrong matters.

Boardrooms, clinics and public infrastructure do not tolerate a demo that falls over. If you want your work to be load-bearing rather than decorative, this is the right kind of hard.

How we are built

Four disciplines, deliberately mixed.

Research that never meets an operator drifts. Delivery without research plateaus. We staff teams so neither happens.

01

Applied research

Computer vision, forecasting and retrieval specialists who publish and ship in the same quarter.

02

Platform engineering

The people who make air-gapped deployment and model lineage boring, reliable problems.

03

Domain practice

Former company secretaries, clinical informaticists and GIS analysts who have done the job we are automating.

04

Delivery

Engineers and project leads embedded with customers from opportunity map through to production SLA.

Benefits

The deal, stated plainly.

Equity for everyone

Every employee holds equity. No exceptions, no separate class for people who joined late.

Health cover from day one

Medical, dental and vision for you and your dependents, effective on your start date rather than after a probation period.

Deliberate remote

Remote-first with a Chicago hub. Four company-funded onsites a year so distributed does not mean disconnected.

Real time off

Twenty days minimum that we expect you to take, plus public holidays and paid parental leave.

Learning budget

An annual budget for conferences, courses and books, and paid time to actually use it.

Hardware you choose

Pick your machine and your desk setup. Compute for research work is not rationed.

Open roles

6 positions open right now.

No role listed that fits? Write to us anyway — we have created positions for people worth hiring.

Applications go to careers@nareth.ai. Nareth is an equal opportunity employer. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status or disability.

Start a conversation

Tell us what is slow, expensive, or invisible in your operation.

We will tell you honestly whether AI is the right answer — and if it is, exactly what it would take to get there.