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1 день назад

Senior AI Engineer (AI Solutions)

144 000 - 181 000$
Формат работы
hybrid
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 AI Engineer (AI Solutions): Building and optimizing AI-powered workflows and agent-based systems to transform internal business operations with an accent on production-quality software architecture and end-to-end delivery. Focus on integrating LLM APIs into heterogeneous environments and solving complex workflow redesign challenges to drive structural business change.

Location: Hybrid role, must be based in or able to commute to Boston, MA

Salary: $144,000 – $181,000 USD

Company

hirify.global is a leading automotive marketplace that leverages innovation to bring trust and transparency to the car shopping experience.

What you will do

  • Design and build AI-powered workflows and agent-based systems to transform company-wide operations.
  • Partner with cross-functional stakeholders in revenue, product, engineering, and finance to identify high-leverage AI opportunities.
  • Own the full development lifecycle from scoping and architecture to implementation and deployment.
  • Integrate AI APIs and platforms like Anthropic and AWS Bedrock into automation pipelines.
  • Navigate and build within complex, heterogeneous environments including AWS and internal services.
  • Shape technical strategy and standards for the AI Solutions function.

Requirements

  • 5+ years of professional software engineering experience.
  • Strong proficiency in Python.
  • Proven experience building and shipping production-grade AI applications or agentic systems.
  • Fluency in AWS infrastructure and services.
  • Experience designing robust APIs, services, and data pipelines.
  • Ability to work with high autonomy in a hybrid environment.

Nice to have

  • Experience with workflow orchestration at scale.
  • Familiarity with Salesforce integration patterns.
  • Background in recommendations, search, or ML engineering.
  • Experience collaborating with non-technical stakeholders.

Culture & Benefits

  • Flexible hybrid work model.
  • Comprehensive Total Rewards Package including equity for all employees.
  • Robust time off policies and focus on work-life balance.
  • Perks including daily free lunch, new car discount, and wellness apps.
  • Inclusive, people-first culture with active employee resource groups.

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