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1 день назад

Staff Engineer (AI)

153 692 - 245 908$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US, Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff Engineer (AI): Shaping the design and development of scalable, reliable, and innovative AI/GenAI solutions with an accent on aligning with organizational goals. Focus on providing architectural leadership for complex, large-scale AI systems, and mentoring engineers to meet a very high technical bar.

Location: Remote US (ET preferred)

Salary: $153,692 - $245,908 USD

Company

hirify.global accelerates the customer’s journey to becoming a more connected and intelligent business, bringing together Configure, Price, Quote, Contract Lifecycle Management, and Document Automation capabilities on a single open platform.

What you will do

  • Shape the design and development of scalable, reliable, and innovative AI/GenAI solutions.
  • Lead high-priority projects and set technical directions for teams.
  • Provide architectural leadership for complex, large-scale AI systems.
  • Act as a thought leader in AI technologies, influencing cross-functional technical decisions and long-term strategies.
  • Mentor engineers, fostering a culture of continuous learning and technical excellence.

Requirements

  • 10+ years of professional software development experience, including 5+ years in AI/ML or GenAI.
  • Deep expertise in Python and frameworks such as TensorFlow, PyTorch, FastAPI, LangChain, LangGraph, and KubeFlow.
  • Advanced knowledge of AI/ML algorithms, generative models, and LLMs.
  • Proficiency with cloud platforms (e.g., GCP, AWS, Azure) and modern DevOps practices.
  • Strong understanding of distributed systems, microservices architecture, and database systems (SQL/NoSQL).
  • Strong communication and interpersonal skills.

Nice to have

  • Experience leading the development of generative AI solutions, leveraging advanced techniques such as multi-modal models, reinforcement learning, and responsible AI principles.
  • Advanced knowledge of GCP technologies such as VertexAI, BigQuery, GKE, and DataFlow.
  • Familiarity with agile methodologies and working in a DevOps model.
  • Thought leadership for the AI/ML community, contributing ideas through publications, open-source projects, and/or speaking engagements.

Culture & Benefits

  • Competitive compensation and benefits packages.
  • Flexible work options.
  • Full range of benefits including medical and dental insurance.

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