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4 дня назад

AI Engineer

Формат работы
remote (только Germany)/hybrid
Тип работы
fulltime
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Engineer (Agents): Building and evolving Staff-Facing Agent, an intelligent operations copilot embedded in a hospitality platform with an accent on agent architectures, reasoning, reinforcement learning, and LLM tooling. Focus on designing reliable execution of complex multi-step tasks through natural language, rapidly prototyping production-ready systems, and scaling innovations for stability under real-world use.

Location: Munich, Germany. Flexible remote, hybrid, or office work options.

Company

World’s most open API-first property management platform powering hospitality operations with modular AI-powered infrastructure for custom tech stacks and personalized guest experiences.

What you will do

  • Drive AI experimentation by staying current with LLMs, agents, and architectures, building proof-of-concepts, and translating research into production improvements.
  • Enhance agent performance through optimized prompting, tool usage, planning, orchestration, and iteration based on real-world data.
  • Build evaluation frameworks, test datasets, and metrics to rigorously measure and ensure repeatable agent improvements.
  • Work hands-on in the agent codebase modifying prompts, model configurations, workflows, and tool integrations.
  • Collaborate with backend engineers for reliable deployment, observability, and incorporation of domain knowledge from customer use cases.

Requirements

  • Solid foundation in software engineering, preferably Python.
  • Hands-on experience with LLMs, prompting, or AI agents.
  • Ability to run experiments, iterate quickly, and solve complex problems.
  • Strong debugging skills and comfort working directly in production codebases.
  • Curious fast learner who proactively follows AI developments and ships prototypes rapidly.

Nice to have

  • Experience with RAG systems, agent frameworks like LangChain/LangGraph, or AWS Bedrock.
  • Exposure to reinforcement learning, LLM fine-tuning, or representation learning.
  • Background in math, physics, or analytical fields.

Culture & Benefits

  • Diverse international team from over 20 nationalities with 360° feedback, learning budget, and career growth opportunities.
  • Autonomy, ownership, and collaboration in a trust-based environment.
  • Flexible work focusing on results, 30 days vacation, EGYM Wellpass for health and fitness.
  • Germany perks like free Deutschland Ticket public transport, team events, dinners, and offsites.
  • Competitive compensation benchmarked for fairness and performance recognition.

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