Назад
7 дней назад

AI Engineer – Forward Deployed Engineering (AI FDE)

152 900 - 210 155$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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 Engineer – Forward Deployed Engineering (AI FDE) (GenAI/LLMOps): Building and deploying production-grade generative AI applications for customers with an accent on RAG, multi-agent systems, Text2SQL, fine-tuning, and scalable ML deployments. Focus on owning production rollouts, optimizing evaluation and performance, advising customers, and shaping product priorities through cross-functional collaboration.

Location: United States; remote locations are open within the United States. Travel to customers may be required once every 4–8 weeks.

Salary: $152,900–$210,155 USD annually, with potential annual performance bonus, equity, and regional benefits.

Company

Databricks provides a unified Data and AI Platform used to build and scale data applications, analytics, and AI agents.

What you will do

  • Develop cutting-edge generative AI solutions using current AI research techniques to solve customer problems.
  • Own production rollouts of consumer-facing and internal generative AI applications.
  • Serve as a trusted technical advisor to customers across multiple domains.
  • Present technical work at conferences and contribute as an internal and external thought leader.
  • Collaborate with product and engineering teams to influence priorities and shape the product roadmap.

Requirements

  • Industry experience designing, building, and deploying production generative AI and LLM applications at scale; the role is not intended for interns, new graduates, or entry-level applicants.
  • Experience with RAG, multi-agent systems, Text2SQL, fine-tuning, Hugging Face, LangChain, or DSPy.
  • Expertise in production-grade generative AI deployment, evaluation, and optimization.
  • Extensive hands-on data science experience with tools such as pandas, scikit-learn, and PyTorch.
  • 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

  • Customer-facing work across a variety of domains with close collaboration across product, engineering, and developer relations.
  • Opportunities to work on first-of-their-kind AI applications and contribute to long-term strategic initiatives.
  • Comprehensive employee benefits and region-specific perks.
  • Inclusive workplace committed to equal employment opportunity and diversity.
  • Potential annual performance bonus and equity eligibility.

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