Do you build the machine — or read the world?
Fifty-plus people across two cities, running a machine much bigger than the headcount: millions of posts a day, hundreds of servers, a desk that runs around the clock. Built for government — scaling into global enterprise. Pick your door.
Engineering & the AI Lab.
Distributed systems moving millions of posts a day across hundreds of servers. NLP and LLMs working in 200+ languages, Arabic first among them. And the AI Lab — our R&D arm — running machine-learning experiments that become next quarter's features.
One story. Four ways of reading it.
This is where the dots get connected — a protest in one country, a policy shift in another, a narrative moving between them. Our data analysts came to us from journalism, mass communication, economics and political science — degrees that read meaning where models read text. Put four of those backgrounds in front of the same story and you get the whole picture:
Economics
Reads the market exposure, and what it does to the room for policy.
Political science
Reads who gains, who stays silent, and why now.
Journalism
Reads how it will be told tonight — and by whom.
Data science
Reads whether the spike is real, and against what baseline.
Breaking news doesn't wait. Neither does the desk.
In shifts around the clock, journalists and analysts track fast-moving incidents, verify what's real, and get the alert out while it can still change a decision — crisis calls made early, advisories with judgement in them, briefings clients act on. Part newsroom, part operations room: a front-row seat to world events, with a keyboard.
A composite day — shifts rotate; the desk never blinks
The collision is the point.
The engineer who ships the sentiment model sits beside the analyst who knows why Maghrebi Arabic breaks it. The journalist writing the 6am advisory sits beside the data scientist who can prove the spike is real. Most companies keep these people in different buildings. Here, three teams share one desk — and that collision is where the product comes from.
Ashwin Reddy Gayam.
Founder & CEO
A global operator: 35+ countries travelled, business done in 10+, companies set up in three. Advisor to leading government agencies on data and AI; the person in the room when leadership asks what the coverage means.
Chief technology architect
Building systems since his earliest college days. The platform has had one continuous technical author from day one — which is why it feels designed, not assembled. Yes, he can read your pull request.
Small teams. Serious work. Real ownership.
Work that reaches the top table
The intelligence you build is read at the highest levels of government and enterprise. Your work informs real decisions — not dashboards nobody opens.
Human + technology, together
We pair a 30+ analyst desk with cutting-edge Big Data and AI. You'll build the machine and sit beside the people who read its output.
Senior, small, high-trust
Lean teams and real ownership from day one. Less process, more judgement — and room to grow fast.
Built in the Gulf, engineered in Hyderabad
Sovereign-grade work to a global standard, across Arabic and 100+ languages.
Come down and meet us.
The best interviews start as conversations. Write to us, and come see the desk running — in either city. Coffee's on us.
Abu Dhabi
Headquarters — where the briefings land
Al Danah, Abu Dhabi, UAE
Hyderabad
Engineering — where the machine is built
Hyderabad, India
Where we're hiring now.
No desk role listed right now — the desk still reads every strong introduction.
Don't see your role? Introduce yourself.
We're always glad to meet strong engineers, analysts and client leads. Tell us what you'd bring — and which door you'd walk through.
Applications by email, CV attached: getintouch@locuselite.com