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6 дней назад

Senior Backend Engineer - Agents (AI)

180 000 - 220 000$
Формат работы
remote (только USA)/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
Senior Backend Engineer - Agents (AI): Building scalable agent infrastructure, knowledge stores, and production agentic systems for an autonomous cybersecurity threat-hunting platform with an accent on TRACE graphs, embeddings, semantic search, and RAG. Focus on evaluating non-deterministic agents, designing benchmarks and observability, and encoding detection-engineering expertise into safe, continuously improving systems.

Location: Remote within the United States or hybrid in Boston.

Base salary: $180,000–$220,000 per year, plus equity and comprehensive benefits.

Company

hirify.global develops an agentic cybersecurity threat-hunting platform that autonomously analyzes endpoint, identity, and cloud telemetry to identify behavioral threats and create hardened detections.

What you will do

  • Build and maintain the infrastructure and platforms powering production AI agents.
  • Co-own the TRACE Graph and other knowledge stores, including embeddings and semantic search systems.
  • Design scalable data structures optimized for agentic workflows.
  • Build automated evaluations and benchmarks to support rapid iteration without regressions.
  • Ensure agents behave safely and as expected through observability and continuous evaluation.
  • Collaborate with detection engineers and threat hunters, and provide guidance to other engineers working on agents.

Requirements

  • 4+ years of software engineering experience, including 1+ year building customer-facing agentic systems in production.
  • Strong backend engineering fundamentals and proficiency in Python, Java, Go, Rust, or a similar language.
  • Strong understanding of agentic architectures and their tradeoffs.
  • Experience designing, building, and evaluating production RAG systems.
  • Strong experience with agent evaluations and observability.
  • Experience with AWS or GCP, plus the ability to adapt, iterate, and ship quickly.

Nice to have

  • Cybersecurity experience.
  • Startup experience.
  • Experience with graph databases.
  • Experience evaluating the performance of different LLMs.

Culture & Benefits

  • Low-ego environment focused on growth and customer value.
  • Remote working flexibility.
  • Health, dental, and vision coverage.
  • Unlimited PTO and life insurance.
  • 401(k) and equity compensation.

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