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Текст:
Hirify AI/Оригинал
TL;DR
AI Engineer (LLM) (AI/LLM): Building production AI features for order intake, restaurant operations, and analytics with an accent on tool calling, RAG, multilingual search, and measurable quality. Focus on designing assistants and order-parsing workflows, evaluating accuracy, latency, and cost, and shipping reliable features with backend and frontend engineers.
Location: Tashkent, Uzbekistan; full-time, on-site at 6 Afrosiab Street
Salary
Discussed at the interview.
Company
hirify.global processes orders from more than 1,400 venues across seven countries and develops systems for restaurant ordering, aggregation, and operations.
What you will do
Develop order intake from AI assistants, including menus, carts, and checkout through MCP and tool calling.
Improve recognition and parsing of aggregator orders.
Build AI assistants for operators, managers, and owners covering order answers, summaries, and analytics.
Build RAG and search across menus and knowledge bases in Russian, Uzbek, and English.
Set up evaluations and track request accuracy, latency, and cost.
Ship production features with backend and frontend engineers.
Requirements
2+ years of commercial development experience with Python or TypeScript/Node.js.
Hands-on experience with large language model APIs, including prompting, tool calling, and structured output.
Understanding of RAG, embeddings, vector search, chunking, and ranking.
Ability to measure quality using a test set rather than visual assessment.
Experience with SQL and REST APIs.
Readiness to work from the Tashkent office on-site.
Nice to have
Experience with MCP or agent workflows in production.
Experience with ClickHouse or PostgreSQL.
Background in e-commerce, delivery, or restaurant systems.
English sufficient to read documentation and research papers.
Culture & Benefits
Full-time, on-site work format.
AI features are taken from prototype to production with emphasis on measurable quality, predictable cost, and reliable operation.
Hiring process
A required 5–10 minute AI interview takes place immediately after applying.
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