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1 день назад

Software Engineer (AI)

200 000 - 360 000$
Формат работы
remote (только United_states/Canada)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
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/Fullstack): Building an endpoint AI observability platform for AI-adopting organizations with an accent on high-performance data ingestion and inference pipelines. Focus on designing distributed systems, automating engineering workflows with internal agents, and delivering scalable API and customer-facing surfaces.

Location: Remote (Must be based in the United States or Canada)

Salary: $200,000 – $360,000

Company

hirify.global is building an endpoint AI observability platform designed to maximize the productivity and safety of AI adoption within organizations.

What you will do

  • Ship across the entire stack, including agent development, backend services, infrastructure, and frontend interfaces.
  • Build and distribute internal AI agents to automate repeatable engineering tasks.
  • Design and operate distributed systems using AWS, EKS, Clickhouse, and Kafka against production SLAs.
  • Define the context, permissions, and tooling required for AI-native engineering workflows.
  • Drive technical decisions on storage schemas, API contracts, and multi-tenant scalability patterns.
  • Collaborate with research and systems-internals engineers to productionize new software.

Requirements

  • Location: Must be based in the US or Canada.
  • Prolific experience with agentic coding tools such as Claude Code, Codex, and OpenCode.
  • Proven track record of building data-intensive distributed systems at scale.
  • Deep understanding of streaming, batching, backpressure, and consistency models.
  • Strong proficiency in Rust (preferred) and Python.
  • Production experience with AWS, Kubernetes (EKS), and event streaming (Kafka).

Nice to have

  • Background in real-time monitoring or observability infrastructure (e.g., Datadog, Honeycomb).
  • Experience with high-throughput systems like high-frequency trading or real-time telemetry.
  • Knowledge of AI infrastructure, inference pipelines, or agent orchestration.
  • Prior experience as a founding engineer or in early-stage startups.
  • Deep OS internals knowledge (eBPF, Windows ETW, Apple ESF) or cross-platform expertise.

Culture & Benefits

  • Fully remote work environment built on trust, autonomy, and excellence.
  • Generous healthcare coverage.
  • Flexible PTO.
  • Home-office support to ensure a productive work environment.

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