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3 дня назад

Senior/Staff Backend Engineer, Applied AI

200 000 - 350 000$
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

Текст:
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TL;DR
Senior/Staff Backend Engineer, Applied AI (Node.js/TypeScript, PostgreSQL, LLM workflows): Architecting and scaling AI-powered backend systems for document extraction, entity resolution, retrieval, and structured financial data generation with an accent on resilient pipelines, evaluation, observability, and production reliability. Focus on designing multi-step AI workflows, managing non-deterministic systems, and making complex tradeoffs across performance, cost, and scalability.

Location: NYC, United States; on-site

Base salary: $200,000–$350,000 per year, plus equity

Company

hirify.global is an AI-native asset management platform focused on healthcare facilities and multifamily real estate across acquisition, management, and exit.

What you will do

  • Architect and scale AI-powered backend systems for document extraction, entity resolution, retrieval, and structured data generation.
  • Design resilient pipelines, queues, orchestration layers, and failure-handling mechanisms for production AI workflows.
  • Own data modeling and backend architecture across PostgreSQL and related storage systems for complex financial and operational data.
  • Establish observability, evaluation, tracing, monitoring, debugging, and guardrail standards for AI systems.
  • Improve reliability and developer velocity through better abstractions, tooling, and engineering patterns.
  • Provide technical leadership through architecture reviews, design feedback, collaboration with product and frontend teams, and mentorship.

Requirements

  • 7+ years of backend or full-stack software engineering experience, including ownership of production backend systems.
  • Strong experience with Node.js, TypeScript, PostgreSQL, concurrency, queuing, data pipelines, and reliable server-side systems.
  • Hands-on experience building products with LLMs, including agent architectures, RAG systems, extraction pipelines, or tool-use patterns.
  • Ability to reason about failure modes, retries, observability, cost, performance, and scaling in AI workflows.
  • Technical leadership experience with architecture decisions, design reviews, code quality, and engineering mentorship.
  • Bachelor’s degree minimum.

Nice to have

  • Experience owning architecture for AI-native or data-intensive backend platforms.
  • Production experience with Inngest, Temporal, or Step Functions.
  • Experience with OCR, document intelligence, search, or financial and legal data extraction at scale.
  • Early-stage startup experience and experience improving technical standards across a team.

Culture & Benefits

  • Work at the cutting edge of applied AI with a large scope and significant impact.
  • Work directly with the leadership team and own critical systems.
  • Help shape the technical foundation as the company scales.
  • Competitive base compensation with equity.

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