Назад
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6 часов назад

AI Platform Engineer

150 000 - 300 000$
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

Текст:
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TL;DR
AI Platform Engineer (AI/Distributed Systems): Building the frameworks, shared libraries, APIs, observability tooling, and evaluation pipelines that power AI agents and real-time telemetry processing with an accent on scalable backend systems, production reliability, and AI performance measurement. Focus on designing distributed systems over petabytes of heterogeneous data, integrating LLM-based and multi-agent applications, and optimizing services for low-latency workloads.

Location: New York, United States; in-person, five days per week

Salary: $150,000–$300,000 annual base salary, plus equity and benefits

Company

hirify.global builds AI-powered software maintenance and SRE solutions for enterprise production environments.

What you will do

  • Design and implement scalable backend systems supporting AI agents and observability tools.
  • Build high-performance APIs connecting backend systems with frontend interfaces.
  • Architect distributed systems for real-time workloads over petabytes of heterogeneous telemetry data.
  • Build live evaluation pipelines, automated scoring systems, and benchmarks for measuring AI performance.
  • Collaborate with AI engineers and scientists to integrate AI-driven capabilities into backend systems.
  • Monitor, optimize, and scale services for high data volumes and low-latency performance.

Requirements

  • Strong system design skills for distributed systems.
  • Production-scale software engineering experience.
  • Experience with LLM-based applications or multi-agent systems.
  • Strong data modeling skills and experience writing clean, maintainable code.
  • Ability to collaborate across research and engineering teams.
  • Ability to work in person in New York five days per week.

Nice to have

  • Knowledge of software incidents and production SRE workflows.
  • Experience with AI benchmarking, evaluation systems, quantitative scoring, or benchmarks.
  • Familiarity with observability stacks, including logs, metrics, traces, and telemetry systems.
  • Background in agentic architectures, orchestration frameworks, or applied AI research.

Culture & Benefits

  • Health insurance and flexible time off.
  • Competitive salary and startup equity.
  • Company-provided technology setup and in-office snacks.
  • Collaborative, hard-working environment on a small, high-impact team.
  • Opportunities to own meaningful product areas and learn continuously.

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