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4 часа назад

Senior Manager, Software Engineering (AI)

176 036 - 316 865$
Формат работы
remote (только USA)/hybrid/onsite
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

Senior Manager, Software Engineering (AI): Leading the development and operations of a real-time API platform integrating Cloud, Big Data, and GenAI ecosystem with an accent on scalability, reliability, and AI-driven transformation. Focus on implementing LLM-powered services, agentic workflows, and establishing AI/LLM-specific evaluation harnesses.

Location: Must be based in the United States (Flexible work environment: remote, hybrid, or in-office options available)

Salary: $176,036 - $316,865

Company

hirify.global is a global data and technology company powering opportunities for people and businesses worldwide across financial services, healthcare, and automotive sectors.

What you will do

  • Lead engineering teams building platform capabilities using hirify.global bureau and 3rd party data.
  • Oversee the architecture and implementation of real-time, low-latency APIs supporting millions of daily transactions.
  • Integrate AI/GenAI technologies including LLM-powered services, RAG, and agentic workflows.
  • Define the long-term vision and roadmap for the API platform, focusing on modernization and AI-enablement.
  • Establish AI/LLM-specific evaluation harnesses for prompt regression and hallucination detection.
  • Collaborate with Product, DevOps, and Data Science teams to align technical execution with business goals.

Requirements

  • Must be based in the United States.
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 8+ years of software engineering experience with 3+ years in engineering leadership roles.
  • Hands-on experience delivering AI/ML or GenAI projects in production environments.
  • Expertise in managing real-time, high-throughput API platforms and distributed systems.
  • Proficiency with cloud platforms (AWS/GCP/Azure) and modern backend stacks (Java, Go, Python, or Node.js).

Nice to have

  • Familiarity with Model Context Protocol (MCP) and Claude Skills.
  • Experience with ML Ops capabilities and Data Science.
  • Knowledge of event-driven architectures and message queues like Kafka.
  • Background in test engineering and quality automation frameworks (JUnit, pytest, Playwright, k6).

Culture & Benefits

  • Flexible work arrangement: ability to work remote, hybrid, or in-office.
  • Comprehensive benefits package including medical, dental, vision, and matching 401K.
  • Competitive compensation with a variable pay opportunity and bonus plan.
  • Flexible time off, including vacation, sick leave, and 12 paid holidays.
  • Inclusive, people-first culture recognized as one of the World's Best Workplaces.

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