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2 дня назад

AI Engineer - Data

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/Germany
Релокация
UK/Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Engineer - Data (AI/LLM): Building agentic AI systems for reward design, including agents, LLM pipelines, retrieval, and evaluation, with an accent on turning open-ended data problems into shipped systems. Focus on designing RAG and vector-search workflows, evaluating AI behavior, and establishing engineering patterns for AI development across the data team.

Location: On-site in Berlin or London, 5 days a week in the office. Relocation support is available for candidates moving to Berlin or London.

Company

hirify.global builds products that reward more than 80 million users for engaging with advertisers and offers products including Freecash, Zave.IT, and Link.

What you will do

  • Build the next generation of an agentic reward design system that analyzes games, generates tailored offers, and evaluates them before launch.
  • Turn ambiguous AI opportunities across payer structures, user acquisition, and other data verticals into working systems.
  • Design and ship agents, LLM pipelines, retrieval systems, and evaluation workflows.
  • Collaborate directly with Staff Data Scientists, the CTO, and company leadership.
  • Set the engineering patterns, tooling, and standards for AI development across the data team.

Requirements

  • Python is required.
  • Experience with modern LLM APIs, open models, agentic frameworks, and orchestration tools such as LangChain, LangGraph, or LlamaIndex.
  • Practical experience with RAG, vector search, evaluation frameworks, eval-driven development, prompt engineering, and context engineering.
  • Experience shipping a genuinely agentic AI system, LLM pipeline, or real RAG system that was used in practice.
  • Strong software engineering or applied machine learning foundations.
  • Experience with BigQuery, SQL, large behavioral datasets, cloud infrastructure, containers, and CI/CD.

Nice to have

  • Experience in adtech, marketplaces, recommendations or ranking, or high-scale consumer products.

Culture & Benefits

  • Ownership and responsibility from the first day.
  • Fast-paced environment with compensation, bonuses, and progression linked to performance and intensity.
  • Company-paid AI tooling integrated into team workflows.
  • Clear opportunities for growth and evaluation across all skill levels.
  • Equal-opportunity workplace that encourages applications from diverse backgrounds.

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