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7 дней назад

Product-Minded Fullstack Engineer (AI)

180 000 - 220 000$
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
Product-Minded Fullstack Engineer (AI): Building a conversational restaurant recommendation and loyalty platform with an accent on agent runtimes, LLM tool calling, retrieval, and product-focused fullstack development. Focus on improving answer quality through evals and observability, making mobile interactions fast and reliable, and evolving the agent from answering questions to completing tasks.

Location: New York, on-site

Target annual salary: $180,000–$220,000 USD, excluding equity.

Company

hirify.global builds a loyalty and payments platform connecting restaurants with their customers through customizable restaurant loyalty tools and a consumer dining app.

What you will do

  • Build the conversational chat experience used by diners.
  • Own the agent runtime end to end, including tools, context management, streaming, and retrieval.
  • Develop model-callable tools and tests that verify their behavior.
  • Measure and improve answer quality through evaluations, tracing, observability, and real user feedback.
  • Improve restaurant recommendations and evolve the product from answering questions to completing tasks.
  • Ship reliable, cost-efficient experiences for mobile networks in collaboration with product and design.

Requirements

  • 5+ years of experience shipping production software and owning features end to end.
  • Ability to debug across streaming clients, application code, SQL, and service boundaries.
  • Deep experience with LLM application development, including tool calling, context management, retrieval, and streaming.
  • Strong React and TypeScript skills, fluency in Python, and willingness to work with Kotlin and Spring.
  • Solid Postgres and data modeling skills, with strong judgment about retrieval quality.
  • Product judgment, high ownership, comfort with ambiguity, and the ability to build trustworthy, fast agent experiences.

Nice to have

  • Experience with agent evaluations and LLM observability tools such as Langfuse, Braintrust, or LangSmith.
  • Experience with pgvector, PostGIS, native mobile AI surfaces, frontier model APIs, or prompt caching.
  • Background in restaurants, hospitality, travel, or recommendation products with real-world consequences.
  • Experience with Datadog, Amplitude, LaunchDarkly, AWS, or Terraform.

Culture & Benefits

  • Hands-on individual contributor role where everyone builds and ships.
  • Work closely with product and design to put features in front of real diners quickly.
  • Culture centered on product passion, high performance, continuous growth, feedback, and accountability.
  • Compensation includes salary and an equity component.
  • Equal opportunity employment with consideration for qualified applicants in accordance with applicable law.

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