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1 день назад

Software Engineer (AI)

116 475 - 174 713$
Формат работы
hybrid
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
Software Engineer (AI): Building and operating highly available application platforms and AI-assisted incident response systems with an accent on observability, reliability engineering, and production AI integration. Focus on designing SLIs and SLOs, reducing alert noise and MTTR, deploying LLM and machine learning capabilities, and operating distributed systems at scale.

Location: Atlanta, Georgia, United States. Office-first culture with three days per week in the office for most roles.

Annual base salary: $116,475–$174,712.50 USD for candidates based in California, Colorado, Connecticut, Nevada, New York, Rhode Island, and Washington. Additional eligibility may include bonuses, equity, commissions, and benefits.

Company

hirify.global provides an AI-ready governance platform that combines regulatory intelligence, automation, and connected governance workflows for responsible data and AI use.

What you will do

  • Design, deliver, and maintain highly available and performant application platforms with Engineering, Operations, and Product teams.
  • Build observability, monitoring, centralized logging, metrics dashboards, and actionable alerting.
  • Define and maintain SLIs, SLOs, and error budgets aligned with customer experience.
  • Automate operational processes and incident response using Python, Bash, Java, or Ruby.
  • Build or integrate AI-assisted incident response systems for root-cause analysis, log summarization, anomaly triage, and alert-quality improvement.
  • Review architectures with product teams, identify reliability risks, and share findings with technical leadership.

Requirements

  • Bachelor’s degree in computer science, engineering, or a related technical or business field.
  • 4+ years of application development experience with Java or an equivalent language, including experience with Spring.
  • Experience with AWS, Azure, GCP, or other cloud infrastructure; Kubernetes; container orchestration; distributed systems; and microservices.
  • Knowledge of database, network, CPU, JVM, memory, thread, and query performance, with experience using SQL or NoSQL databases.
  • Hands-on experience with observability tools such as Datadog, Prometheus, or Grafana, plus CI/CD and infrastructure-as-code tools such as Terraform, Helm, Jenkins, or GitLab.
  • Production experience deploying AI systems, including LLM tools, machine learning for anomaly detection, vector databases, embeddings, RAG architectures, and prompt evaluation.

Nice to have

  • Experience with chaos engineering tools such as Gremlin or Chaos Monkey.
  • Background with high-traffic, product-facing services.
  • Experience with incident management platforms such as PagerDuty and Datadog.

Culture & Benefits

  • Office-first work environment with regular in-person collaboration.
  • Comprehensive healthcare coverage, flexible paid time off, and retirement account support.
  • Equity RSUs and annual performance bonus opportunities.
  • 14+ weeks of paid parental leave and career development opportunities.
  • Company-paid privacy certification exam fees.

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