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3 дня назад

Principal Software Engineer (AI)

230 000 - 270 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior/lead
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 Software Engineer (AI): Developing the LangSmith platform for observability, evaluation, and production reliability of AI agents with an accent on scalable architecture and high-volume data processing. Focus on designing performant backend services in Go and Python, building frontend interfaces in TypeScript, and establishing engineering standards for the team.

Location: On-site in Boston, San Francisco, or New York City

Salary: $230,000 - $270,000

Company

hirify.global builds the foundation for agent engineering, offering a platform for building, evaluating, and deploying AI agents at scale.

What you will do

  • Lead architectural decisions across Go, Python, and TypeScript stacks to ensure performance and scalability.
  • Build end-to-end features from backend services and APIs to frontend product experiences.
  • Drive tracing, monitoring, and evaluation workflows with a focus on reliability and query performance.
  • Partner closely with product and design to shape the product roadmap.
  • Set engineering standards, define patterns, and lead code reviews for the team.
  • Mentor and grow engineers through design feedback, pairing, and technical guidance.

Requirements

  • 10+ years of professional experience in backend or fullstack engineering on complex production systems.
  • Strong programming skills in Python and/or Go (backend) and TypeScript/React (frontend).
  • Demonstrated experience owning architectural decisions and managing data system tradeoffs.
  • Proven ability to optimize high-throughput or mission-critical systems for reliability.
  • Track record of taking systems from prototype to production and maintaining them at scale.
  • Strong communication skills and comfort operating cross-functionally with leadership.

Nice to have

  • Experience with database systems like Postgres, Redis, or ClickHouse.
  • Proficiency with cloud platforms such as AWS, GCP, or Azure.
  • Familiarity with AI/LLM infrastructure, observability tooling, or evaluation frameworks.

Culture & Benefits

  • Competitive compensation including base salary, variable pay, and meaningful equity.
  • Comprehensive medical, dental, and vision coverage.
  • Flexible vacation policy.
  • 401(k) retirement plan.
  • Meals provided on in-office days in the US.

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