Назад
1 день назад

Software Engineer (AI)

172 600 - 304 100$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK/US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Software Engineer (AI): Building secure, scalable AI integration platforms and backend services for enterprise systems with an accent on generative AI, agentic workflows, authentication, and high-throughput APIs. Focus on designing distributed integrations, enforcing security and reliability standards, and leading architecture, observability, and resilience improvements in production.

Location: Hybrid, based out of the San Francisco, New York City, or Seattle hubs in the United States

Salary: $172.6K–$304.1K base compensation in San Francisco and New York City; $155.4K–$273.7K in other US locations, plus equity.

Company

Writer develops an enterprise AI platform for building and deploying AI agents powered by company data and enterprise-grade large language models.

What you will do

  • Design and deliver secure, scalable AI integration platforms connecting enterprise systems and powering mission-critical automation.
  • Shape the AI integration client ecosystem and enable secure connections to external tools, data sources, and enterprise systems.
  • Own backend service design for high-throughput, low-latency APIs supporting agent workflows and cross-system orchestration.
  • Define identity, authentication, and trust-boundary strategies for OAuth, API keys, and service-to-service integrations.
  • Partner with product and engineering leaders on technical strategy, roadmap development, architecture reviews, and delivery.
  • Improve production reliability through SLOs, SLAs, observability, incident readiness, performance optimization, testing standards, and mentorship.

Requirements

  • 5+ years of software engineering experience building and operating production backend systems with TypeScript, Deno, Node.js, or Bun.
  • Experience designing API-driven platform services and distributed systems, including microservices, event-driven patterns, and secure service-to-service communication.
  • Practical experience building AI integration layers such as MCP clients or servers, tool orchestration, external API connectors, and authentication mediation.
  • Strong knowledge of OAuth2/OIDC, API keys, token lifecycle management, secret management, and least-privilege access.
  • Cloud-native experience with AWS, GCP, or Azure, including Docker, Kubernetes, CI/CD, and production operations.
  • Experience with observability, reliability engineering, service metrics, SLOs/SLAs, incident response, performance tuning, technical leadership, and mentoring.

Nice to have

  • Experience with Python ecosystems and PostgreSQL.

Culture & Benefits

  • Hybrid work from the San Francisco, New York City, or Seattle office hubs.
  • Generous paid time off and company holidays.
  • Medical, dental, and vision coverage, plus a health savings account and flexible spending options.
  • Sixteen weeks of paid parental leave for all parents, fertility and family planning support, and early-detection cancer testing.
  • Wellness and learning and development stipends, company off-sites, equity, and a 401k.

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