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3 часа назад

Senior Engineer (AI)

Формат работы
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 Engineer (AI): Building backend and full-stack systems for production AI agents that automate high-stakes healthcare workflows with an accent on distributed systems, workflow orchestration, and runtime reliability. Focus on designing run-state management, queues, idempotency, observability, and human-in-the-loop recovery for dependable production automations.

Location: Hybrid, based in the San Francisco office

Company

hirify.global is an AI-powered agentic automation platform for healthcare organizations, focused on automating administrative workflows such as prior authorizations and medical coding while keeping people in control.

What you will do

  • Design and build backend and full-stack systems for AI agents and healthcare automations.
  • Set technical direction for projects and product areas, including ambiguous requirements.
  • Build features for automation creation, workflow pathways, testing, editing, and production run reporting.
  • Improve runtime reliability through run-state management, queues, idempotency, error classification, alerts, and dashboards.
  • Own critical services from architecture through deployment, monitoring, and iteration.
  • Mentor teammates and improve engineering effectiveness.

Requirements

  • 5+ years of software development experience.
  • Experience building and owning backend systems deployed in production.
  • Strong systems design skills across distributed systems, databases, APIs, queues, asynchronous workflows, and observability.
  • Ability to turn ambiguous product requirements into clear technical plans.
  • Experience integrating AI tools into development workflows and willingness to experiment with new approaches.
  • Strong ownership, execution, prioritization, iteration, and mentoring skills.

Nice to have

  • Experience building platform, infrastructure, or workflow systems at scale.
  • Experience building agentic products or agent-based workflows.
  • Experience integrating LLMs or AI models into production backend systems.
  • Background in event-driven architectures, workflow engines, observability, or runtime reliability.
  • Experience in healthcare operations or revenue cycle management.

Culture & Benefits

  • Work on production-grade AI agents for the healthcare industry.
  • Build systems that automate repetitive workflows while preserving human oversight.
  • Join a company backed by Greylock, Coatue, and Lightspeed, with $41M raised.

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