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2 часа назад

Backend Engineer (AI)

180 000 - 260 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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
Backend Engineer (AI): Building distributed systems, APIs, data pipelines, and backend infrastructure for AI research and deployment with an accent on high-throughput, low-latency workflows, database performance, and reliability. Focus on designing scalable services, integrating agentic AI workflows, and implementing observability, persistence, streaming, and vector-store capabilities.

Location: Hybrid in New York City or San Francisco, United States

Salary: $180K–$260K annually, plus equity

Company

hirify.global is an AI lab deploying frontier reasoning systems within financial markets and developing an agentic wealth manager.

What you will do

  • Design and implement scalable backend services, data pipelines, and APIs.
  • Build infrastructure for high-throughput, low-latency AI and machine learning workflows.
  • Set up, manage, and optimize SQL and NoSQL databases, including schemas, replication, indexing, and performance.
  • Improve performance, reliability, security, observability, logging, tracing, and monitoring.
  • Collaborate with research and infrastructure teams to support rapid experimentation.
  • Contribute through code reviews, mentorship, and engineering practices.

Requirements

  • 3+ years of experience building distributed systems or high-availability backends.
  • Strong Python skills and proficiency in at least one systems language such as Go, Rust, or C++.
  • Experience with cloud platforms, Docker, Kubernetes, and container orchestration.
  • Experience setting up, managing, and optimizing SQL or NoSQL databases.
  • Strong focus on code quality, correctness, performance, maintainability, and structure.
  • Ability to use modern AI coding tools such as Cursor, Claude Code, or Codex effectively.

Nice to have

  • Experience integrating agentic AI workflows into backend systems using tools such as LangChain, LangGraph, Semantic Kernel, Haystack, or custom frameworks.
  • Familiarity with persistence and checkpointing, streaming pipelines, and vector or knowledge store integrations.

Culture & Benefits

  • Work within a small, high-agency, talent-dense team.
  • Opportunity to work on AI applications in financial markets.
  • Early-stage environment with minimal bureaucracy.
  • Equity included in the compensation package.

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