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6 часов назад

Principal AI Engineer (AI Solutions)

172 000 - 216 000$
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

Principal AI Engineer (AI Solutions): Designing and building AI-powered workflows and agent-based systems to transform business operations across product, engineering, and finance with an accent on production-quality software architecture. Focus on implementing agentic systems using LLM APIs and AWS infrastructure to shift how judgment and work are executed within the company.

Location: Hybrid (Boston, MA)

Salary: $172,000 — $216,000 USD

Company

The largest and fastest-growing automotive marketplace dedicated to bringing trust and transparency to car shopping.

What you will do

  • Design and build AI-powered workflows and agent-based systems to transform internal company operations.
  • Partner with stakeholders in revenue, product, engineering, and finance to identify high-leverage AI opportunities.
  • Develop end-to-end systems from initial scoping and architecture through to implementation and deployment.
  • Utilize AI APIs and platforms including Anthropic/Claude and AWS Bedrock to build intelligent tooling.
  • Integrate AI solutions into a heterogeneous environment involving AWS infrastructure and Salesforce.
  • Help shape the overall technical strategy and standards for the AI Solutions function.

Requirements

  • 8+ years of professional software engineering experience.
  • Proficiency in Python as the primary development language.
  • Strong experience designing APIs, services, and data pipelines.
  • Fluency with AWS infrastructure and services.
  • Hands-on experience building production-ready applications with LLM APIs or agent frameworks.
  • Must be able to work in a hybrid model in Boston.

Nice to have

  • Experience with large-scale workflow orchestration or automation.
  • Familiarity with Salesforce APIs and integration patterns.
  • Background in search, recommendations, data science, or ML engineering.
  • Experience working cross-functionally with non-technical stakeholders.

Culture & Benefits

  • Equity and RSUs for all employees.
  • Flexible hybrid work model with robust time-off policies.
  • Comprehensive Total Rewards Package including discretionary bonuses.
  • Practical perks such as daily free lunch, commuting cost coverage, and new car discounts.
  • Support for wellbeing through meditation and fitness apps.

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