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2 дня назад

Early Career Software Engineer (AI)

130 000 - 150 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
junior
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
Early Career Software Engineer (AI) (Healthcare AI): Building production software across web, mobile, backend, infrastructure, and AI systems for clinical workflows, healthcare operations, and revenue cycle management with an accent on high-volume data, reliability, and production ownership. Focus on developing inference and orchestration pipelines, designing scalable APIs and services, and improving observability, performance, and system stability.

Location: On-site in Mountain View, California or Los Angeles, California

Salary: Estimated base salary of $130,000–$150,000 per year, plus equity

Company

hirify.global is building an AI-native healthcare operating system spanning ambient documentation, intelligent agents, revenue cycle management, and clinical workflows.

What you will do

  • Build product features across web, mobile, and backend applications, including offline-first experiences for healthcare professionals.
  • Develop reliable APIs, backend services, and data processing pipelines for high-volume clinical and healthcare data.
  • Build AI inference, orchestration, fallback, retry, asynchronous workflow, and evaluation infrastructure.
  • Improve monitoring, observability, alerting, debugging, performance, reliability, and application stability.
  • Design internal tools that improve engineering productivity and production operations.
  • Work with product, design, clinical, engineering, and customer-facing teams to understand real-world problems and ship solutions.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, with recent or upcoming graduation.
  • Strong fundamentals in algorithms, data structures, operating systems, databases, networking, or distributed systems.
  • Experience building software through internships, research, open-source projects, coursework, startups, or personal projects.
  • Ability to write clean, maintainable code and debug problems across multiple system layers.
  • Strong ownership, communication, problem-solving, and willingness to learn unfamiliar technologies.
  • Care for reliability, performance, production quality, and user impact.

Nice to have

  • Experience with Python, TypeScript, Dart, Swift, Kotlin, Flutter, React, or native mobile platforms.
  • Experience with PostgreSQL, Redis, cloud object storage, Kubernetes, containers, distributed queues, or data processing pipelines.
  • Experience with LLM inference, AI orchestration, evaluation infrastructure, monitoring, logging, tracing, or automated testing.

Culture & Benefits

  • Work directly alongside clinicians and see the impact of production systems on patient care.
  • Own projects from early thinking through production and deploy frequently.
  • Collaborate across backend, frontend, mobile, infrastructure, product, design, clinical, and customer-facing functions.
  • Build systems used by clinicians and healthcare organizations every day.
  • Equity is included in the compensation package.

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