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14 часов назад

Senior AI Engineer (Location AI)

Формат работы
remote/hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Finland
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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TL;DR
Senior AI Engineer (Location AI): Designing and delivering multi-component AI systems for real-time location platforms with an accent on LLM-backed features, evaluation frameworks for non-deterministic systems, and data pipeline architecture. Focus on building agent orchestration tools, optimizing latency in distributed request paths, and ensuring system reliability through on-call rotations.

Location: Remote or hybrid (Helsinki office available).

Company

hirify.global is a leading real-time location platform providing tools for navigation, data, and location-aware applications used by over 4 million developers.

What you will do

  • Define and build measurement and evaluation frameworks for non-deterministic AI systems.
  • Develop data pipelines for ingestion, conflation, and entity resolution to keep large datasets current.
  • Design feedback loops and model harnesses to improve product performance and reliability.
  • Optimize systems for latency and cost, including streaming, caching, and model routing.
  • Participate in an on-call rotation to ensure 24/7 system availability.
  • Mentor team members through code and design reviews and share best practices in evaluation.

Requirements

  • Bachelors degree in STEM and 5+ years of software engineering experience.
  • 2+ years of experience shipping LLM-backed features to production.
  • Deep understanding of designing evaluations for non-deterministic systems.
  • Strong proficiency in Python or TypeScript and data engineering depth (SQL, distributed processing).
  • Experience diagnosing latency in distributed request paths.
  • Clear written communication is essential as the company is distributed across time zones.

Nice to have

  • Experience with geospatial data (routing, geocoding, OpenStreetMap).
  • Background in public API or SDK design.
  • Knowledge of voice pipelines (ASR, TTS) or automotive/infotainment systems.
  • Experience building against MCP or similar tool transports.

Culture & Benefits

  • Flexible remote or hybrid work environment.
  • Private health, dental, and income protection plans.
  • Family-first support including parental leave policies.
  • Lifestyle spending account for health and personal growth.
  • Mental health support and dedicated paid volunteering time.

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