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Software Engineer on Platform (AI Infrastructure)

200 000 - 325 000$
Формат работы
onsite
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 on Platform (AI Infrastructure): Scaling the core API and document processing pipelines that power an agentic document platform with an accent on throughput, latency, reliability, and cost efficiency. Focus on Kubernetes infrastructure, model-serving paths, observability, internal tooling, and leading platform projects as usage grows.

Location: San Francisco office, on-site

Salary: $200K–$325K annually, plus equity

Company

hirify.global provides an agentic document platform for AI teams, combining custom and frontier models to power accurate, scalable document workflows.

What you will do

  • Scale the core API and document processing pipelines for higher throughput and lower latency.
  • Reduce infrastructure and model-serving costs while maintaining quality and reliability.
  • Improve Kubernetes and containerized deployment workflows, observability, alerting, and operational safety.
  • Build internal tooling, evaluations, and debugging workflows for faster failure detection and resolution.
  • Partner with ML and backend engineers to optimize LLM and model-serving paths in production.
  • Act as a technical lead for platform and backend projects as the team grows.

Requirements

  • 5+ years of experience building, hardening, and scaling production backend or platform systems.
  • Hands-on experience with distributed systems, Kubernetes or similar orchestration, cloud infrastructure, observability, and incident-driven reliability work.
  • Strong Python skills, or deep expertise in another backend language with readiness to work primarily in Python.
  • Experience with Terraform or infrastructure as code, containerized deployments, and production debugging.
  • Fluency with LLM coding tools such as Claude Code, Codex, or Cursor.
  • Experience leading projects or small teams and communicating with founders, engineers, and customers.

Nice to have

  • Infrastructure experience at an early-stage or high-growth startup.
  • Experience with AI infrastructure, model serving, agent platforms, developer tools, or high-throughput APIs.
  • Meaningful experience with Terraform, Kubernetes, queues, Postgres, observability, or cloud cost optimization.
  • Customer-facing experience or the ability to translate customer pain into platform improvements.

Culture & Benefits

  • Early-stage environment focused on moving quickly and working hard.
  • Unlimited paid time off.
  • Daily free lunch at the office.
  • Reimbursed transportation and health insurance covering medical, dental, and vision.
  • Up to $150 per month for health and wellness expenses.
  • Parental leave with a flexible schedule.

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