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2 дня назад

Applied AI Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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
Applied AI Engineer (Python/LLM): Building and operating production-grade AI systems, agentic workflows, and generative media integrations for a rewarded mobile gaming engagement platform with an accent on Python/FastAPI backend services, LLM integration, and business process automation. Focus on designing multi-step agent pipelines, managing state and fallback logic, integrating creative AI APIs, and operating scalable AWS workloads.

Location: Hamburg, Germany; flexible hybrid model with remote work on Mondays and Fridays and office work on Tuesdays, Wednesdays, and Thursdays.

Company

hirify.global operates a rewarded user engagement and acquisition platform for mobile gaming, helping players discover and engage with games while creating value for gaming studios.

What you will do

  • Design and build performant, well-tested Python/FastAPI services for AI-powered features and automations.
  • Architect multi-step agent pipelines using LangGraph, CrewAI, or custom orchestration layers, including tool schemas, state management, retries, fallbacks, and human-in-the-loop controls.
  • Integrate OpenAI, Anthropic, and open-source LLMs through APIs and SDKs, covering prompt engineering, context-window strategies, structured outputs, streaming, caching, and cost optimization.
  • Connect external generative media tools such as Arcads, Seedance, and Runway to automated content pipelines.
  • Identify and implement AI-native automations for content creation, data enrichment, QA, customer support, and internal tooling.
  • Deploy and operate AWS services with the Platform team while managing observability and AI workload costs; translate ambiguous business needs into concrete solutions with product, design, and business stakeholders.

Requirements

  • 5+ years of production Python experience and strong hands-on knowledge of FastAPI or similar frameworks.
  • Proven experience building LLM-powered applications with prompt engineering, context management, structured outputs, and cross-provider cost optimization using providers such as OpenAI or Anthropic.
  • Hands-on experience designing multi-step agent pipelines with LangGraph, CrewAI, or custom orchestration layers, including state management, tool schemas, and fallback logic.
  • Experience integrating third-party APIs at scale, ideally including generative media or creative AI tools.
  • Ability to write clean, tested, production-ready code and take full ownership of shipped systems.
  • Ability to translate ambiguous business problems into concrete technical solutions and collaborate with non-technical stakeholders.

Nice to have

  • Exposure to video, image, or audio generation APIs such as Runway, Seedance, or similar tools.
  • Experience with AI quality assurance or human-in-the-loop approval workflows.
  • Background in fast-paced, product-led scale-up environments.

Culture & Benefits

  • Fast-paced environment focused on speed, experimentation, focused execution, and ownership.
  • Direct communication, respect for others, and collaborative problem-solving.
  • Transport subsidy, learning budget, wellness and gym benefits, workation, and bi-weekly team lunches.
  • Hybrid work arrangement in Hamburg with home working on Mondays and Fridays.

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