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Applied AI Engineer

Формат работы
remote (только Europe)
Тип работы
fulltime
Английский
b2
Страна
Europe
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR
Applied AI Engineer (Agentic AI/LLMs): Building and deploying production-ready AI agent systems and end-to-end agentic workflows for complex enterprise processes with an accent on reliability, evaluation, explainability, and accountable execution. Focus on designing evaluation frameworks, optimizing LLM and RAG workflows, and translating emerging AI capabilities into robust production systems.

Location: Fully remote within Europe

Company

hirify.global develops an agentic process automation platform that combines AI-driven problem solving with programmatic execution for reliable, auditable enterprise workflows.

What you will do

  • Design and implement end-to-end AI agent workflows using KPU technology.
  • Work directly with customers to rapidly iterate on enterprise AI solutions.
  • Build evaluation datasets and frameworks to measure agent performance, reliability, and accuracy.
  • Optimize workflows for performance, explainability, and enterprise-grade reliability.
  • Apply new techniques across LLMs, RAG systems, and production AI agents.

Requirements

  • Experience building and shipping AI-powered features in production.
  • Hands-on experience with LLMs, evaluations, prompt optimization, and context engineering.
  • Strong software engineering background with production Python proficiency.
  • Understanding of ML system evaluation methodologies and performance optimization.
  • Ability to translate complex AI capabilities into practical enterprise applications.
  • Self-starter mindset and interest in building reliable, transparent, and trustworthy AI systems.

Culture & Benefits

  • Work with an early-stage AI startup developing agentic process automation.
  • Influence how multinational organizations transform critical business processes.
  • Collaborate with deep technical and industry experts on enterprise AI challenges.
  • Work in an inclusive environment committed to equal employment opportunity.

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