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7 дней назад

Tech Lead - Data & Analytics (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Norway
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Tech Lead - Data & Analytics (AI): Leading the Data Team to scale real-time insights and a production-ready AI platform with an accent on data architecture, LLM integration, and system reliability. Focus on optimizing ClickHouse and TimescaleDB pipelines, implementing advanced prompt engineering, and establishing observability-first data standards.

Location: Flexible work hours and location, with offices in Oslo, Stockholm, Copenhagen, and Amsterdam.

Company

hirify.global is a growing SaaS company providing an AI-driven chatbot platform that leverages machine learning and NLP to automate world-class customer service for enterprise clients.

What you will do

  • Lead and mentor a multidisciplinary engineering team, establishing clear priorities and reducing cross-team friction.
  • Drive customer-centric data features by translating enterprise client needs into platform capabilities.
  • Define technical boundaries and data models for event-driven analytics and robust AI integration.
  • Guide the design and shipment of resilient LLM features with sophisticated error-handling, retries, and cost controls.
  • Champion data governance by elevating testing rigor and monitoring to ensure analytics are trusted and highly available.

Requirements

  • 6+ years of professional software engineering experience, with at least 2+ years of leading multidisciplinary teams.
  • Strong background in data engineering or building data-intensive products (experience with ClickHouse and TimescaleDB is a plus).
  • Proficiency in Python and TypeScript/Node.
  • Solid grasp of shipping LLM/NLP features to production, including cost management and quality evaluation.
  • Architectural breadth to understand the connection between frontend, backend, and data components.

Nice to have

  • Experience establishing organizational standards for AI coding assistants (Copilot/Codex).
  • Advanced Kubernetes orchestration (Helm) and complex GCP cloud setup experience.
  • Experience handling scaling challenges for real-time data ingestion and event-driven architectures.

Culture & Benefits

  • Dedicated AI budget and freedom to experiment with cutting-edge AI tools.
  • Option to buy company stocks at a discount.
  • Flexible work hours and location.
  • Personal development time (10 hours per month).
  • Bi-monthly 2-day Hackathons during work hours.
  • Modern offices near Oslo Central Station with a relaxed, high-trust atmosphere.

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