Client
Magnum
Selected work / Magnum
Magnum HR Agent
A production HR agent built for real recruiters, real vacancies, and the operational constraints of a large retail network.
Domain
HR · Retail
Channel
Magnum
Conversational agent, admin panel, knowledge ingestion, eligibility logic, age logic, notification flows.
The work
The system helps recruiters screen candidates, answer internal questions, and route people to the right vacancy or branch. It connects to the workflows the HR team already uses.
What mattered
A pleasant chat flow was the easy part. The real work was eligibility, branch fit, multilingual behavior, and keeping the agent useful when the operating rules changed.
What shipped
We delivered the conversational layer, admin tooling, knowledge ingestion, notification flows, and the business logic needed to make the agent useful inside recruitment operations.
Case study
Magnum HR Agent
AI for mass hiring across a retail network with hundreds of stores. The agent picks up the candidate the moment they reply on HeadHunter and walks them through a short interview on WhatsApp. The real work is not the chat. It is matching the person to the closest store, dealing with addresses written in any form, and keeping all of it inside an HR process the team already runs.
Problem
Too many candidates, not enough recruiters.
HeadHunter brings in a steady flow of applicants. The HR team cannot reply to all of them in time, so part of the pipeline drops out before anyone even reads it. Candidates wait, get an offer somewhere else, and the role stays open. On top of that, every candidate has to be sent to a specific store. Doing this by hand for a network this size is slow and accidental — the right person ends up assigned to a store on the other side of the city.
Solution
The first hour of recruiting, automated end to end.
Applications land in Skills, the internal HR system. From there the agent takes over: it messages the candidate on WhatsApp through Infobip, runs a short intake, and proposes the nearest store with an open role. Recruiters only see candidates who are already triaged. The whole flow is built around the recruiter, not around the model. HR keeps a panel where they can edit vacancies, salaries and store data without engineering.
Technical work
A geocoder we had to build because the address field is anything but an address.
People write where they live in whatever form feels natural: a district name, a village, a microrayon, half an address, sometimes slang. A plain string search does not work. So we built a small geocoding layer on top of Yandex Maps that turns any of that into coordinates and matches the candidate against the nearest store. We started on 2GIS and moved away — the API was expensive once we hit real volume. Store coordinates are cached locally so the same point is not re-geocoded twice. The WhatsApp side runs through Infobip with webhook-driven dialog state on our backend.
Related work
Olzhas — Magnum Knowledge Base
An internal AI assistant for Magnum employees: ask a question in plain language, get an answer pulled from the company knowledge base.
- Built
- Conversational assistant, RAG pipeline over internal knowledge, admin panel for the operations team, onboarding flows.
- Stack
- Python backend · RAG · Multilingual LLM · Admin panel
Magnum Notifications & LMS
Internal notification platform for Magnum: training reminders pulled from the LMS, plus targeted corporate broadcasts to specific stores, departments and offices.
- Built
- LMS sync, training notifications on Telegram and WhatsApp, escalation to managers, admin panel for segmented broadcasts.
- Stack
- Python backend · Telegram · WhatsApp · LMS integration (Moko, Magnum Space) · Admin panel
LiftEd
An AI platform for schools that turns checked work into a clear map of knowledge gaps, progress, and next steps.
- Built
- Work checking, gap diagnostics, knowledge map, adaptive practice, school analytics, and role-based product flows.
- Stack
- LLM grading · Adaptive engine · Role-based UIs · Analytics
Hiring at the scale where every reply has to be near-instant?
We help retail and operations teams put the first hour of recruiting on rails: an agent in the chat, an admin panel for HR, and the routing logic that puts each candidate in front of the right role.