Назад
12 дней назад

AI Forward Deployed Engineer (GenAI)

Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
US/Sweden
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) (GenAI/LLMOps): Developing and productionizing customer-facing generative AI applications with an accent on RAG, multi-agent systems, Text2SQL, fine-tuning, and production deployment. Focus on owning production rollouts, evaluating and optimizing AI systems, advising customers, and shaping product priorities with engineering and product teams.

Location: Preferred location: Stockholm, Sweden. Travel to customers once every 4–8 weeks may be required.

Company

Databricks is a data and AI company providing a unified platform for building and scaling data, AI applications, analytics, and agents.

What you will do

  • Develop cutting-edge generative AI solutions using the latest AI research techniques.
  • Build and own production rollouts of consumer-facing and internal GenAI applications.
  • Act as a trusted technical advisor for customers across multiple domains.
  • Present technical work at conferences and contribute to internal and external thought leadership.
  • Collaborate with product, engineering, and developer relations teams to shape product priorities and the roadmap.

Requirements

  • Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning, using tools such as HuggingFace, LangChain, and DSPy.
  • Expertise deploying production-grade GenAI applications, including evaluation and optimization.
  • Extensive hands-on industry data science experience with pandas, scikit-learn, PyTorch, and related tools.
  • Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
  • Graduate degree in computer science, engineering, statistics, operations research, or another quantitative discipline, or equivalent practical experience.
  • Ability to communicate and teach technical concepts to both technical and non-technical audiences.

Nice to have

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

Culture & Benefits

  • Collaborative, cross-functional work with engineering, product, developer relations, and subject matter expert teams.
  • Opportunities to work with current developments in GenAI, LLMOps, and machine learning.
  • Comprehensive benefits and region-specific perks for employees.
  • Commitment to an inclusive workplace and equal employment opportunity.

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