Назад
4 дня назад

AI Forward Deployed Engineer (GenAI)

Формат работы
remote (только Germany)
Тип работы
fulltime
Английский
b2
Страна
US/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 Forward Deployed Engineer (GenAI): Developing and productionizing customer-facing GenAI applications with an accent on RAG, multi-agent systems, Text2SQL, fine-tuning, and production deployment. Focus on deploying and evaluating machine learning applications, advising customers on AI solutions, and shaping product priorities through cross-functional collaboration.

Location: Remote applicants must be based in Germany; preferred locations are Munich, Berlin, and Frankfurt. Travel to customers may be required once every 4–8 weeks.

Company

Databricks provides a unified Data and AI Platform for building and scaling data, analytics, and AI applications.

What you will do

  • Develop GenAI solutions using the latest AI research techniques to solve customer problems.
  • Own production rollouts of consumer-facing and internal GenAI applications.
  • Advise customers as a trusted technical expert across different domains.
  • Present technical work at conferences and contribute to internal and external thought leadership.
  • Collaborate with product and engineering teams to influence priorities and shape the product roadmap.

Requirements

  • Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning.
  • Experience with tools such as HuggingFace, LangChain, and DSPy.
  • Expertise in production-grade GenAI deployment, evaluation, and optimization.
  • Hands-on industry data science experience with pandas, scikit-learn, PyTorch, and related tools.
  • Experience deploying production-grade machine learning systems on AWS, Azure, or GCP.
  • Graduate degree in a quantitative discipline or equivalent practical experience, plus the ability to communicate technical concepts to technical and non-technical audiences.

Nice to have

  • Experience with the Databricks Intelligence Platform and Apache Spark for large-scale distributed datasets.

Culture & Benefits

  • Cross-functional collaboration with engineering, product, developer relations, and subject matter expert teams.
  • Opportunities to work with customers on first-of-its-kind AI applications.
  • Benefits and perks are provided according to the employee's region.
  • Inclusive hiring practices and a focus on a diverse working environment.

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