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22 часа назад

Staff Software Engineer (AI)

168 000 - 269 000$
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

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TL;DR

Staff Software Engineer (AI): Building 0-to-1 internal tools that leverage AI to revolutionize sales operations with an accent on backend engineering and Machine Learning implementation. Focus on architecting high-performance backend services, designing and implementing ML models for real-time recommendations, and integrating complex enterprise software.

Location: Remote, United States

Salary: $168,000–$269,000 USD

Company

hirify.global creates technology to help restaurants and local businesses succeed in a digital world.

What you will do

  • Architect and code high-performance backend services and ML pipelines.
  • Build and prototype new internal products from scratch leveraging LLMs and Agentic AI.
  • Design and implement ML models that provide real-time recommendations to sales users.
  • Develop the backend connective tissue between custom quoting engine, Salesforce, and internal data lakes.
  • Solve complex synchronization and architectural challenges across the Go-To-Market stack.
  • Drive engineering excellence through rigorous code reviews and automated testing.

Requirements

  • Deep Backend Expertise: Extensive experience in Java, Go, or Python with a track record of building complex, distributed systems.
  • Applied AI/ML Skills: Practical, hands-on experience deploying Machine Learning models and building with LLMs (e.g., LangChain, RAG architectures, or Model Fine-tuning) in a production environment.
  • Technical Complexity: Experience building or deeply integrating with complex enterprise software, specifically custom quoting engines or CRM internals (Salesforce Apex/LWC).
  • Ability to design event-driven architectures and manage data flow across disparate systems with high integrity.
  • Bachelor’s or Master’s degree in Computer Science, or a related technical field.

Nice to have

  • Experience building internal "Sales Tech" or "Fintech" tools that directly impact revenue.
  • Familiarity with AWS data services (SageMaker, Lambda, SQS).

Culture & Benefits

  • Embrace a hybrid work model that fosters in-person collaboration while valuing individual needs.
  • Competitive compensation and benefits programs, including equity.
  • Opportunity to learn new AI tools and apply them to build for customers faster and with higher quality.
  • Committed to Diversity, Equity, and Inclusion with equitable opportunities for all.
  • Hiring process supported by AI tools for recruiter/interviewer tasks, with human decision-making.

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