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1 день назад

Software Engineer (AI)

150 000 - 200 000$
Формат работы
onsite
Тип работы
fulltime
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 backend systems, data-capture workflows, high-throughput pipelines, and cloud infrastructure for frontier-model training data with an accent on distributed systems, production ownership, and AI data infrastructure. Focus on architecting data-intensive platforms, deploying reliable workloads with Kubernetes and Docker, and taking ambiguous technical problems through implementation and production delivery.

Location: San Francisco, California, United States — on-site

Salary: $150,000–$200,000 annually, plus meaningful equity.

Company

hirify.global represents an AI company building expert-reasoning and data infrastructure used to develop frontier models and serving major AI labs.

What you will do

  • Build scalable backend systems and complex data-capture workflows using Python and JavaScript/Next.js.
  • Architect high-throughput, data-heavy pipelines for demanding production workloads.
  • Own cloud infrastructure across AWS or GCP, including serverless systems and cloud functions.
  • Deploy and operate production workloads with Docker and Kubernetes.
  • Build low-latency distributed systems using Kafka or RabbitMQ, Redis, and Elasticsearch.
  • Take projects from ambiguous problems through architecture, implementation, infrastructure, deployment, and delivery while working directly with founders.

Requirements

  • Strong backend, platform, or infrastructure engineering experience.
  • Hands-on production experience with Python.
  • Experience owning substantial projects end-to-end, including cloud infrastructure.
  • Strong knowledge of distributed systems, data pipelines, and high-throughput architectures.
  • Production experience with Docker and ideally Kubernetes.
  • Experience with AWS or GCP, serverless architecture, and cloud-based data processing; familiarity with Kafka, RabbitMQ, Redis, or Elasticsearch.

Nice to have

  • Experience with AI research, LLM evaluations, human-in-the-loop systems, or frontier-model data infrastructure.

Culture & Benefits

  • Work directly with founders to define product strategy and make important technical decisions.
  • Join a team of more than 30 engineers, researchers, and operators.
  • Meaningful equity is included in the compensation package.
  • Visa sponsorship is available, including O-1 and H-1B transfers.
  • Relocation support may be negotiated at the offer stage.

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