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Software Engineer (AI)

210 000 - 250 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
US
RUВакансия из Hirify RU, списка российских tech-компаний

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TL;DR
Software Engineer (AI): Building and scaling data infrastructure, core engineering platforms, and backend services for an engineering intelligence platform with an accent on resilient APIs, data pipelines, and production reliability. Focus on architecting complex systems, solving scalability and security challenges, and translating product strategy into technical roadmaps.

Location: San Mateo, United States; hybrid work required

Salary: $210,000–$250,000 per year

Company

Faros AI develops an engineering intelligence platform that provides visibility and context across software delivery systems and supports collaboration between humans and AI agents.

What you will do

  • Architect, build, and scale data infrastructure and core engineering platforms.
  • Write resilient backend code and develop REST and GraphQL APIs.
  • Own complex technical problems from system design through production deployment.
  • Establish architectural standards and best practices for reliability, security, and scalability.
  • Partner with product and engineering leadership on technical roadmaps.
  • Mentor engineers and communicate technical trade-offs to non-technical stakeholders.

Requirements

  • 5–8+ years of experience owning critical components or services.
  • Expert proficiency in TypeScript with Node.js and/or Python.
  • Experience with web services, data pipelines, ETL/ELT, orchestration frameworks, and SQL/NoSQL databases.
  • Experience with CI/CD, production monitoring, alerting, logging, metrics, traces, and on-call operations.
  • Hands-on experience with AWS, Azure, or GCP, plus security fundamentals.
  • English C1 required for technical calls and clear written communication.

Nice to have

  • Experience with SaaS platforms, engineering analytics, or developer-productivity tooling.
  • Experience with IaC, containers, serverless systems, queues, or event-driven architectures.
  • Knowledge of authentication, authorization, secrets management, and DORA metrics.
  • Hands-on experience with AI-assisted coding agents.

Culture & Benefits

  • Hands-on work with significant ownership of architecture and core systems.
  • Collaboration with distributed international teams.
  • Opportunity to build infrastructure for software development involving AI agents.

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