Назад
Company hidden
2 дня назад

Principal Software Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Principal Software Engineer (AI): Leading the design and delivery of large-scale distributed software systems with an accent on cloud-native architectures, microservices, and production AI/ML integration. Focus on designing event-driven systems, integrating computer vision and foundation models, and ensuring scalability, security, observability, and operational resilience.

Location: Hybrid, Lehi, Utah, United States; worksite at 1441 W Innovation Way, Suite 500, Lehi, UT 84043, combined with a home office.

Company

hirify.global's Corporate Engineering department develops large-scale, distributed software systems and AI-accelerated product capabilities.

What you will do

  • Lead complex technical initiatives and make architectural decisions for robust, scalable, secure, and high-quality software systems.
  • Set technical direction and design, develop, and implement large-scale distributed systems and features.
  • Evaluate emerging technologies and drive cloud-native, microservices-based, event-driven, and service-oriented architectures.
  • Architect and integrate AI and machine learning solutions, including applied machine learning, computer vision, and foundation-model integrations such as Amazon Bedrock.
  • Establish engineering standards for quality, observability, and operational excellence while reducing operational cost and increasing system resilience.
  • Provide technical leadership and mentorship to engineers.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, plus 5 years of experience in software development or a related occupation.
  • Background designing, building, and maintaining large-scale, distributed software systems.
  • Ability to design and implement cloud-native architectures on Amazon Web Services (AWS).
  • Ability to design and deliver microservices-based and event-driven software architectures.
  • Background architecting and integrating AI and machine learning solutions into production software systems, including applied machine learning, computer vision, and foundation-model integration such as Amazon Bedrock.
  • Proficiency in multiple programming languages and frameworks, including Python and FastAPI for backend and API development and React with modern JavaScript/TypeScript for front-end delivery.
  • Knowledge of SQL, Snowflake, relational and NoSQL databases, and data pipelines and streaming for large-scale, high-volume processing.
  • Knowledge of CI/CD pipelines, infrastructure-as-code, monitoring, logging, and observability tooling for production reliability.
  • Ability to translate complex and ambiguous business problems into scalable, reliable, and secure technical solutions.

Culture & Benefits

  • Hybrid work combining the Lehi worksite with a home office.
  • Full-time salaried employment.
  • Focus on engineering quality, observability, operational excellence, mentorship, and technical leadership.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →