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8 дней назад

Software Engineer - Platform / Applied AI (Full-Stack)

260 000 - 290 000$
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

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TL;DR
Software Engineer - Platform / Applied AI (Full-Stack) (Next.js/Python): Building data-capture workflows, full-stack product surfaces, and high-throughput data infrastructure with an accent on distributed systems, serverless processing, and production scalability. Focus on architecting pipelines, storage, caching, search, and message queues while shipping AI operations features and improving reliability under heavy loads.

Location: San Francisco, California, United States; on-site and in person

Salary: $260,000–$290,000 per year plus equity

Company

hirify.global is recruiting for an early-stage AI company building platform, data infrastructure, and AI operations capabilities.

What you will do

  • Build and scale data-capture workflows across Next.js web applications and Python desktop systems.
  • Improve reliability, throughput, and performance under heavy production loads.
  • Architect data pipelines and make greenfield decisions about storage, caching, search, and message queues.
  • Establish engineering practices and scalable system patterns.
  • Work directly with founders on product strategy and ship features from design through production.

Requirements

  • Full-stack JavaScript/Next.js and Python application development experience.
  • Strong coding fundamentals in Node.js/TypeScript, Python, and/or Go.
  • Experience with serverless architecture and cloud functions for substantial data processing on AWS or GCP.
  • Knowledge of distributed systems, scalability, system design, and technical trade-offs.
  • Hands-on experience with Redis, Elasticsearch, Kafka, RabbitMQ, or comparable technologies, plus familiarity with Kubernetes, APIs, and NoSQL databases.
  • Evidence of taking ideas into production and owning production systems.

Nice to have

  • AI research, LLM evaluation, or human-in-the-loop systems experience.
  • Experience with AI agents or reinforcement-learning environments.
  • Founder or early engineering experience.
  • An active GitHub showing sustained building.

Culture & Benefits

  • Direct access to founders and substantial responsibility for platform and architecture decisions.
  • Fast-moving early-stage startup environment focused on AI operations.
  • Equity grant vesting over four years.
  • Health insurance, covered daily lunch and dinner, and gym membership.
  • Intense working hours are expected.

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