Назад
2 дня назад

Software Engineer (AI)

146 000 - 240 000$
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 distributed APIs. Focus on designing high-throughput orchestration services, defining trust boundaries, and driving reliability through observability, SLOs, incident readiness, and performance optimization.

Location: Hybrid, based in San Francisco, New York City, or Seattle, United States

Salary: $146,000–$240,000 base compensation in San Francisco and New York City; $132,000–$216,000 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.
  • Design the AI integration client ecosystem for connecting applications with external tools, data sources, and enterprise systems.
  • Own backend services and high-throughput, low-latency APIs for agent workflows and cross-system orchestration.
  • Define identity, authentication, and trust boundaries across OAuth, API key, and service-to-service integrations.
  • Partner with product and engineering leaders on roadmap, technical strategy, and platform capabilities.
  • Drive production reliability through SLOs, SLAs, observability, incident readiness, resilience, performance optimization, architecture reviews, testing, and mentorship.

Requirements

  • 5+ years of software engineering experience building and operating production backend systems with TypeScript, Deno, Node, or Bun.
  • Experience designing API-driven platform services and distributed systems, including microservices, event-driven architecture, 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.
  • Hands-on knowledge of OAuth2/OIDC, API keys, token lifecycles, 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, alerting, incident response, performance tuning, and mentoring engineers.

Nice to have

  • Experience with Python ecosystems and data systems such as PostgreSQL.

Culture & Benefits

  • Full-time US employees receive medical, dental, and vision coverage, paid parental leave, and family planning support.
  • Generous paid time off, company holidays, flexible spending accounts, and health savings account options.
  • Annual wellness and learning and development stipends.
  • Company stock options, 401(k), and company and team off-sites.
  • Values include connecting across teams, challenging conventional thinking, and taking ownership.

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