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9 дней назад

Senior AI Engineer

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
c1
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 AI Engineer (LLM/Agentic AI): Building and operating end-to-end AI workflows for a stablecoin-native banking platform with an accent on LLM pipelines, agentic systems, evaluation, and production reliability. Focus on designing multi-step workflows, integrating AI services with backend systems, and monitoring quality, cost, latency, and auditability in a regulated financial product.

Location: Remote, based in the United States

Company

hirify.global operates a stablecoin-native banking platform for global enterprises, providing corporate cards, payments, treasury, and spend management.

What you will do

  • Design and own agentic and LLM-based workflows end to end, including extraction, retrieval, reasoning, tool use, and human review points.
  • Build production-grade LLM pipelines with prompt and context design, structured outputs, validation, fallbacks, and confidence scoring.
  • Integrate AI services with backend systems through reliable APIs, retries, graceful degradation, and per-customer data isolation.
  • Create evaluation sets, automated evaluations, logging, tracing, dashboards, alerts, and audit trails for AI decisions.
  • Set shared AI engineering patterns and tooling, review system designs, and help engineers use coding agents and AI tools effectively.

Requirements

  • 7+ years of professional software engineering experience, including at least 2 years building and operating AI-powered systems in production.
  • Experience owning large systems or workflows from scoping and design through launch and iteration with limited direction.
  • Hands-on experience shipping LLM applications using APIs such as Anthropic or OpenAI, including structured outputs, error handling, and evaluation.
  • Experience designing agentic or multi-step AI workflows with tool use, orchestration, and human review steps.
  • Strong proficiency in Python and backend fundamentals including REST APIs, relational databases, asynchronous patterns, and AWS, GCP, or Azure.
  • Professional fluency in written and spoken English is required.

Culture & Benefits

  • Work remotely from the United States.
  • Own complete workflows and make decisions across design, delivery, measurement, and continuous improvement.
  • Collaborate closely with Product, Backend Engineering, and customers.
  • Work on complex AI problems in a regulated financial product environment.

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