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У роли ясный фокус на инфраструктуре данных и production AI, а масштаб продукта выглядит убедительно; главный компромисс - работа только из офиса в Дюссельдорфе.
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Описание вакансии
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Hirify AI/Оригинал
TL;DR
Senior Software Engineer - Data & AI Platform (m/w/d) (Go/TypeScript, ClickHouse, RAG): Building analytical query engines, AI-powered reporting workflows, and low-latency APIs for a high-volume event ticketing platform with an accent on distributed systems, data warehousing, and production AI. Focus on designing deterministic natural-language-to-SQL pipelines, connecting MongoDB with ClickHouse, and maintaining reliable reporting services at billion-request scale.
Location: Düsseldorf, Germany; onsite. Monthly in-person architecture sessions take place in Frankfurt.
Company
hirify.global develops an API-first event ticketing platform for global live entertainment organizers, handling more than 1 billion requests per month and serving over 10 million end users.
What you will do
Build analytical query engines connecting MongoDB transactional backends with ClickHouse or related analytical event stores for sub-second aggregations.
Develop and deploy RAG pipelines, semantic parsers, and agentic query supervisors that convert natural-language prompts into deterministic SQL and aggregation queries.
Write high-performance Go or TypeScript/Node.js services for real-time reporting dashboards without degrading transactional processing.
Design clean data schemas, strict audit trails, and automated evaluation suites to detect hallucinated data and metric drift.
Collaborate with platform and security teams on data flows, sprint scoping, and architecture milestones during monthly in-person sessions in Frankfurt.
Requirements
5+ years of hands-on experience building high-throughput, distributed production services with Go, Python, or TypeScript/Node.js.
Production experience with ClickHouse or closely related low-latency analytical engines such as DuckDB, Snowflake, or Apache Pinot.
Practical experience with MongoDB and PostgreSQL.
Production experience deploying RAG systems, function calling, evaluation frameworks, and supervisor architectures such as LangGraph, LlamaIndex, or custom orchestration layers.
Strong understanding of distributed message streaming with Kafka, RabbitMQ, or cloud pub/sub mechanisms.
High autonomy and a pragmatic, scrappy approach focused on reliable deterministic validation layers and proven databases.
Culture & Benefits
Work on mission-critical live entertainment technology for global brands and millions of end users.
Join a profitable, VC-backed scale-up with continued investment in people, products, and long-term growth.
Collaborate with more than 160 professionals across six global offices.
Work in a diverse, merit-driven environment where impact matters more than hierarchy or background.
Participate in a fast-growing organization focused on learning, shared wins, and collective growth.
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