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58 минут назад

Staff / Principal Full Stack AI Engineer

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

Текст:
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TL;DR
Staff / Principal Full Stack AI Engineer (Python/JavaScript/TypeScript): Building customer-facing AI-powered hiring workflows, including voice interviewers, coaching tools, skills matrices, assistants, and customizable summaries, with an accent on generative AI, retrieval, evaluation, and full-stack product development. Focus on designing reliable prompt chains, backend systems, data models, and polished product interactions while solving challenges around accuracy, safety, tone, latency, and customer fit.

Location: Remote - US

Company

hirify.global is a high-growth software company developing interview intelligence products that help leading companies build exceptional teams.

What you will do

  • Prototype, build, and productionize customer-facing AI features across the full stack.
  • Design prompt chains, retrieval flows, evaluation harnesses, and quality feedback loops.
  • Build backend systems, APIs, data models, and product interfaces for AI-powered workflows.
  • Work with structured data, transcripts, documents, interview notes, job descriptions, and customer-specific configurations.
  • Evaluate AI outputs for accuracy, usefulness, tone, safety, latency, reliability, and customer fit.
  • Partner with Product and Design to shape user experiences and iterate based on customer feedback and quality signals.

Requirements

  • Real-world experience building generative AI applications end to end.
  • Experience with prompt engineering, prompt chains, evaluations, retrieval, vector search, and LLM-powered workflows.
  • Strong full-stack engineering skills, especially in Python and JavaScript/TypeScript.
  • Experience designing backend logic, data models, APIs, and system architecture.
  • Experience working with SQL and unstructured data such as transcripts, documents, and raw text.
  • Strong product judgment and understanding of LLM capabilities, limitations, quality, safety, and reliability.

Culture & Benefits

  • Work in small, autonomous squads on high-impact projects.
  • Choose between leading initiatives and focusing as an individual contributor.
  • Fast CI, one-click deployments, strong observability, and a clean codebase.
  • Fully remote work with regular working hours and no-meeting Wednesdays.
  • Flexible time off and a collaborative environment focused on sustainable work.

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