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8 часов назад

Principal Engineer (AI)

300 000 - 500 000$
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
Principal Engineer (AI): Owning and evolving production-grade enterprise systems for an agentic software development platform with an accent on backend reliability, full-stack execution, and LLM-powered workflows. Focus on designing LLM validation loops, combining graph and vector databases for complex-domain reasoning, and solving scalability, performance, and operational reliability challenges.

Location: Cambridge, Massachusetts, United States — on-site

Salary: $300,000–$500,000 total compensation, including base salary and equity.

Company

hirify.global is an AI software development platform that autonomously converts enterprise requirements into production-ready software and automates large portions of the software development lifecycle.

What you will do

  • Own mission-critical, production-grade backend systems used by enterprise customers.
  • Design, ship, and steward high-impact features that improve reliability, scalability, performance, and customer value.
  • Identify and resolve technical bottlenecks limiting product quality and engineering velocity.
  • Design, operate, and evolve LLM validation loops covering evaluation, feedback, regression testing, and failure analysis.
  • Build systems combining graph, vector, and traditional data models for reasoning over complex domains.
  • Raise engineering quality and durability standards through hands-on technical leadership without direct reports.

Requirements

  • Prior Principal Engineer or Staff+ experience in a highly technical environment.
  • Deep hands-on expertise across backend, frontend, infrastructure, and AI systems.
  • Strong Python expertise, backend frameworks, microservices, REST or gRPC, and supporting experience with Node.js and JavaScript.
  • GCP is mandatory, plus expert experience with at least one of AWS or Azure; expert-level Kubernetes and Terraform experience.
  • Experience operating reliable production systems and working with SQL, NoSQL, graph databases such as Neo4j, and vector databases or embeddings infrastructure.
  • Experience building and operating LLM-powered systems, including validation loops and tracing or evaluation tools such as LangSmith.

Nice to have

  • Experience with OpenAI, Anthropic, or similar model vendors.
  • Experience modernizing complex, long-lived enterprise production environments.

Culture & Benefits

  • In-person collaboration in a startup office community.
  • Paid medical, dental, and vision insurance for employees and dependents.
  • 4% 401(k) match.
  • Flexible vacation, sick days, and work-from-home days.
  • Technology equipment or allowance, plus an office with snacks, beverages, coffee, and espresso.

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