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Senior Applied AI Engineer (AI)

Формат работы
remote (только USA)
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 Applied AI Engineer (AI/LLM): Building production-grade multi-agent AI systems for an MSSP security platform with an accent on threat detection, investigation, response automation, and secure multi-tenant architecture. Focus on designing RAG pipelines and agent orchestration, optimizing token usage and latency, integrating React and TypeScript applications, and deploying observable cloud-native systems.

Location: US Remote; fully remote

Company

hirify.global is a security-focused SaaS company founded in 2013 that provides SecOps and managed detection and response services.

What you will do

  • Architect and deploy production-grade autonomous agent networks using Agent Development Kit, Agent-to-Agent communication, and agentic frameworks.
  • Build AI-driven workflows for multi-step security triage, threat investigation, and response.
  • Own model selection, prompt engineering, context retrieval, RAG pipelines, orchestration, evaluation, and observability.
  • Optimize context windows, token budgets, prompt caching, pruning, and latency across real-time AI interactions.
  • Integrate agentic capabilities into customer- and analyst-facing applications built with React, TypeScript, PostgreSQL, and Firestore.
  • Design secure multi-tenant architectures with strict customer data isolation and mentor engineers on AI engineering practices.

Requirements

  • 5+ years of software engineering experience writing tested, maintainable production code.
  • Practical production experience with LLM integration, prompt harnessing, RAG, multi-agent orchestration, function calling, evaluation, and observability.
  • Strong hands-on proficiency with React, TypeScript, PostgreSQL, and Firestore, including schema design, queries, ORM usage, and runtime validation.
  • Experience designing scalable, highly available, cloud-native systems and secure multi-tenant AI architectures.
  • Experience with Vertex AI/GCP or other cloud platforms such as AWS or Azure, plus familiarity with models including Claude, Gemini, GPT-4, Llama, and Mistral.
  • Experience partnering with product managers and security analysts to deliver user-facing features.

Nice to have

  • Terraform or similar infrastructure-as-code tools.
  • Experience with Google Cloud SecOps, Security Command Center, Mandiant, or SOAR systems.
  • Experience with multimodal workflows, streaming agent architectures, or custom agent routing engines.

Culture & Benefits

  • Fully remote work within the US and a humans-first engineering culture centered on radical transparency.
  • Modern stack including React, TypeScript, Tailwind CSS, PostgreSQL, Drizzle ORM, GCP, CI/CD, Vitest, and Playwright.
  • Company-funded vendor and technical training, peer code reviews, and technical mentorship.
  • Medical, company-paid dental, short-term disability, and long-term disability coverage.
  • Paid vacation starting at 2 weeks and accruing up to 4 weeks, paid sick leave, and 10 paid company holidays.
  • 401(k) match of 100% of the first 3% contributed and 50% of the next 2%.

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