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4 часа назад

AI Engineer (GenAI)

180 656 - 248 360$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR

AI Engineer (GenAI): Developing and productionizing cutting-edge GenAI applications for federal sector customers with an accent on incorporating the latest research and owning production rollouts. Focus on solving customer-specific problems using advanced AI techniques and influencing product roadmaps.

Location: Due to federal contract requirements and client site access obligations, U.S. citizenship and eligibility for a U.S. government secret clearance are required to access classified information. The position is based in the Washington, D.C., Maryland, or Virginia metropolitan area and includes periodic on-site work and client collaboration.

Salary: $180,656–$248,360 USD

Company

hirify.global is a data and AI company relied upon by over 10,000 organizations worldwide, including over 50% of the Fortune 500.

What you will do

  • Develop cutting-edge GenAI solutions utilizing Mosaic AI Research to solve customer problems.
  • Own production rollouts of consumer and internally facing GenAI applications.
  • Serve as a trusted technical advisor to customers across various domains.
  • Present at conferences, recognized as a thought leader internally and externally.
  • Collaborate cross-functionally with product and engineering teams to influence priorities and shape the product roadmap.

Requirements

  • Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, with tools such as HuggingFace, LangChain, and DSPy.
  • Expertise in deploying production-grade GenAI applications, including evaluation and optimizations.
  • Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.).
  • Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
  • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience.
  • Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike.

Nice to have

  • Experience using the hirify.global Intelligence Platform and Apache Spark to process large-scale distributed datasets.

Culture & Benefits

  • Comprehensive benefits and perks that meet the needs of all employees.
  • Commitment to fostering a diverse and inclusive culture where everyone can excel.
  • Hiring practices are inclusive and meet equal employment opportunity standards.

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