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7 часов назад

Senior Applied AI Engineer (AI)

160 000 - 195 000$
Формат работы
remote (только USA)
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 Applied AI Engineer (AI/Python): Building scalable infrastructure, frameworks, and production services for LLM-powered financial wellness features with an accent on reliability, evaluation, and operational efficiency. Focus on optimizing latency and cost, improving AI output quality, and enabling engineers to ship production-grade AI capabilities.

Location: Remote within the United States; must live and work in the U.S. and be eligible for employment by any U.S. employer.

Annual base salary: $160,000–$195,000, depending on qualifications, experience, and location.

Company

hirify.global is a remote-first SaaS company building AI-powered financial wellness solutions for employees and HR teams.

What you will do

  • Design and implement scalable AI services and infrastructure for production SaaS features.
  • Build frameworks and internal tooling that enable engineering teams to develop AI capabilities.
  • Develop systems for LLM output evaluation, model tuning, optimization, and quality improvement.
  • Deploy and operate reliable AI services in production while optimizing latency and cost efficiency.
  • Partner with the CTO on AI architecture, model usage, system design, and emerging AI capabilities.
  • Provide technical guidance and establish engineering patterns for AI-powered feature development.

Requirements

  • 5+ years of software engineering experience, including strong backend or systems development.
  • Strong Python development experience.
  • Experience designing backend services or distributed systems.
  • Production experience integrating LLM APIs, generative AI services, or AI-enabled capabilities.
  • Experience evaluating or improving AI model performance in production environments.
  • Strong systems design, problem-solving, collaboration, technical ownership, and leadership skills.

Nice to have

  • FastAPI or similar framework experience.
  • Experience with model fine-tuning, RAG, prompt evaluation, or LLM evaluation methods.
  • Experience building internal AI tooling, infrastructure, vector databases, or AI data pipelines.
  • Fintech or B2B SaaS experience.

Culture & Benefits

  • Remote-first environment with experienced product and engineering leaders.
  • Work on practical AI applications deployed in a live fintech product.
  • Annual performance bonus and equity participation.
  • Medical, dental, and vision coverage.
  • 401(k) with company contribution, life insurance, and paid time off.

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