Назад
6 дней назад

AI Engineer (GenAI)

182 000 - 250 208$
Формат работы
remote (только USA)/hybrid
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 (GenAI): Building and productionizing customer-facing generative AI applications with an accent on RAG, multi-agent systems, Text2SQL, fine-tuning, and production deployment. Focus on developing GenAI solutions, evaluating and optimizing applications, advising customers, and collaborating with product and engineering teams to shape the roadmap.

Location: Washington, D.C., Maryland, or Virginia metropolitan area, United States; remote work is available, with periodic on-site work and customer travel every 4–8 weeks as needed. U.S. citizenship and eligibility for a U.S. government Secret clearance are required.

Salary: $182,000–$250,208 USD annually, with potential annual performance bonus and equity.

Company

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

What you will do

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

Requirements

  • Experience building generative AI applications using RAG, multi-agent systems, Text2SQL, fine-tuning, and related techniques.
  • Experience with tools such as HuggingFace, LangChain, and DSPy.
  • Expertise deploying, evaluating, and optimizing production-grade generative AI 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, 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.
  • Active Secret or higher security clearance.

Culture & Benefits

  • Collaborative, customer-facing AI engineering environment.
  • Opportunities for lifelong learning and work on current GenAI, LLMOps, and machine learning technologies.
  • Comprehensive employee benefits and perks.
  • Potential annual performance bonus and equity.

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