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4 дня назад

Senior GenAI Engineer (m/w/d)

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
Senior GenAI Engineer (m/w/d) (GenAI/RAG): Building production-ready GenAI applications and RAG pipelines for business automation with an accent on Python, LLM applications, vector search, and cloud-native engineering. Focus on designing reliable AI workflows, integrating external data and APIs, evaluating emerging techniques, and moving prototypes into scalable production solutions.

Location: Berlin, Germany; hybrid work

Company

hirify.global is a healthcare company with more than 1,750 people worldwide, focused on broadening access to medicine and improving the healthcare industry.

What you will do

  • Design, prototype, and deliver production-ready GenAI solutions for business use cases, from classical NLP to LLM-based applications.
  • Build and optimize RAG pipelines covering document ingestion, embeddings, vector search, and retrieval quality.
  • Develop prompt-engineering strategies and manage prompt lifecycles for production use.
  • Design GenAI workflow automations and integrations using Azure AI Foundry, LangGraph, or similar tools.
  • Integrate external data sources and APIs, validate use cases with clear success criteria, and iterate before production.
  • Collaborate with delivery leads, engineers, data scientists, and business stakeholders while owning solution design and delivery for defined components.

Requirements

  • Hands-on experience in software engineering or machine learning/deep learning, including meaningful experience in GenAI or NLP.
  • Strong Python skills and the ability to write production-quality code and review code constructively.
  • Experience shipping production-grade GenAI applications, including RAG pipelines, agent orchestration, fine-tuning, prompt engineering, and vector databases.
  • Production experience with at least one major cloud platform, such as Azure, AWS, or GCP.
  • Experience with containerization, CI/CD pipelines, and cloud-native tooling.
  • Comfortable working in English in a professional written and verbal setting.
  • Experience with production GenAI challenges including messy data, stakeholder alignment, and continuous evaluation.

Nice to have

  • Familiarity with LLM frameworks such as LangChain or LangGraph and workflow automation tools such as n8n or Azure AI Foundry.
  • Experience working in cross-functional teams with non-technical stakeholders.
  • Interest in evaluating emerging AI techniques, tools, and research.

Culture & Benefits

  • Hybrid work in a modern office at EUREF Campus with flexible working hours.
  • 30 days of annual leave plus an additional day off on New Year's Eve.
  • Annual performance bonus based on company results.
  • Free Germany Ticket, subsidized campus meals, daily lunch allowance, Wellhub contribution, and OpenUp mental health access.
  • Complimentary private supplementary health insurance, free coffee, and fresh fruit.
  • International, collaborative environment with global team events.

Hiring process

  • Submit a CV via the application link.

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