Назад
8 часов назад

AI Engineer - FDE (Forward Deployed Engineer) (GenAI)

152 900 - 210 155$
Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
AI Engineer - FDE (Forward Deployed Engineer) (GenAI): Building and productionizing customer-facing GenAI and LLM applications at scale with an accent on RAG, multi-agent systems, Text2SQL, fine-tuning, and production ML deployments. Focus on owning production rollouts, optimizing application evaluation, advising customers, and shaping product priorities with engineering and product teams.

Location: McLean, Reston, or Richmond, Virginia; Washington, D.C.; open to remote locations. Willingness to travel to customers once every 4–8 weeks as needed.

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

Company

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

What you will do

  • Develop GenAI solutions using the latest AI research techniques to solve customer problems.
  • Design, build, deploy, and own production rollouts of consumer-facing and internal GenAI applications.
  • Serve as a trusted technical advisor to customers across multiple domains.
  • Collaborate with product, engineering, and developer relations teams to influence priorities and shape the product roadmap.
  • Present technical work at conferences and contribute as an internal and external thought leader.

Requirements

  • Industry experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, and fine-tuning, using tools such as HuggingFace, LangChain, and DSPy.
  • Expertise in deploying, evaluating, and optimizing production-grade GenAI applications.
  • Extensive hands-on industry 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.
  • Experience communicating or teaching 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 environment focused on lifelong learning and delivering business value through AI.
  • Comprehensive benefits and region-specific employee perks.
  • Potential annual performance bonus and equity eligibility.
  • Inclusive workplace committed to equal employment opportunity and diversity.

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