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обновлено 6 дней назад

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

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 - FDE (Forward Deployed Engineer) (GenAI): Building and productionizing first-of-its-kind GenAI and LLM applications at scale for customer engagements with an accent on RAG, multi-agent systems, Text2SQL, fine-tuning, and production deployment. Focus on evaluating and optimizing AI applications, deploying machine learning systems on cloud platforms, advising customers, and shaping product priorities with engineering and product teams.

Location: United States; open to remote locations. 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 by organizations worldwide to build and scale data, AI, analytics, and agent applications.

What you will do

  • Develop GenAI solutions using modern 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 business 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

  • Experienced engineer with industry experience designing, building, and deploying production GenAI and LLM applications at scale; this role is not intended for interns, new graduates, or entry-level applicants.
  • Experience building GenAI applications involving RAG, multi-agent systems, Text2SQL, or fine-tuning, using tools such as HuggingFace, LangChain, and DSPy.
  • Expertise in production-grade GenAI deployment, evaluation, and optimization.
  • 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, 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 data processing.

Culture & Benefits

  • Collaborative environment focused on lifelong learning and delivering business value through AI.
  • Comprehensive employee benefits and perks, varying by region.
  • Opportunity to work cross-functionally with engineering, product, developer relations, and subject matter expert teams.
  • Potential annual performance bonus and equity eligibility.

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