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5 дней назад

Senior Software Engineer (AI)

135 000 - 155 000$
Формат работы
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 Software Engineer (AI) (Python/GCP/LLMs): Building production-grade applications, data pipelines, and cloud-native services that integrate generative AI capabilities across enterprise finance platforms with an accent on scalability, data quality, and operational reliability. Focus on integrating LLMs, designing distributed systems, automating testing and observability, and optimizing AI solutions in production.

Location: On site in Ann Arbor, Michigan, United States

Salary: USD 135,000–155,000 per year, plus potential bonus or incentive opportunities.

Company

hirify.global provides technology products and services that help clients manage money, investing, and financial planning.

What you will do

  • Design and develop production-grade applications and data solutions that enable AI capabilities across enterprise platforms.
  • Integrate Large Language Models and vendor-provided AI technologies into scalable business applications.
  • Build reliable data pipelines, cloud-native services, and operational frameworks using Google Cloud Platform.
  • Contribute to deployment, monitoring, observability, testing, and performance optimization of AI solutions.
  • Troubleshoot complex production issues, perform root cause analysis, and implement sustainable solutions.
  • Mentor team members and collaborate with architects, engineers, data scientists, and business leaders.

Requirements

  • 5+ years of software engineering, data engineering, or related experience delivering enterprise-scale technology solutions.
  • 5+ years of hands-on Python development focused on applications, integrations, automation, and data processing.
  • Experience designing and supporting cloud-based applications and distributed systems.
  • Hands-on experience with GCP services such as Cloud Run, Google Cloud Storage, and Dataflow, or comparable cloud-native technologies.
  • Experience with API and cloud-service integration, data validation, monitoring, automated testing, source control, and modern software development practices.
  • Bachelor's degree in a relevant field or equivalent practical experience.

Nice to have

  • Experience integrating generative AI and LLMs into enterprise applications.
  • Experience supporting AI-enabled products, including deployment, observability, monitoring, and operational support.
  • Experience building scalable data platforms and highly reliable production systems.
  • Experience in financial services, trading platforms, or highly regulated environments.

Culture & Benefits

  • Regular in-person collaboration within a workplace-flexibility approach.
  • 401(k) with company match and employee stock purchase plan.
  • Paid vacation, volunteering time, parental leave, and family-building benefits.
  • 28-day sabbatical after every five years of service for eligible positions.
  • Health, dental, and vision insurance, plus tuition reimbursement.

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