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3 часа назад

Software Engineer, Applied AI

175 000 - 290 000$
Формат работы
onsite
Тип работы
fulltime
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, Applied AI (LLM agents): Building and improving production agent systems for professional-services workflows with an accent on retrieval, document understanding, tool use, memory, and orchestration. Focus on designing evaluations, analyzing production traces, and turning model and user-behavior findings into product and architecture decisions.

Location: New York, NY; in person 5 days per week

Salary: $175,000–$290,000 base salary, plus equity and bonus.

Company

hirify.global is building an AI layer for professional services and software implementation, automating documentation, discovery, and decision-making for services workflows.

What you will do

  • Build and improve production agent systems across retrieval, tool use, document understanding, memory, and orchestration.
  • Design evaluations and experiments to measure agent quality in production.
  • Analyze traces, failures, and user behavior to guide product and architecture decisions.
  • Work with operations, go-to-market, and deployed teams to understand real workflows and agent failures.
  • Evaluate models, prompts, and system designs across enterprise tasks.
  • Own the loop from idea through implementation, measurement, and iteration.

Requirements

  • Strong engineering fundamentals and experience shipping production systems.
  • Fluency in Python.
  • Experience with LLM-powered products, agent systems, or adjacent applied AI systems.
  • An empirical approach using logs, traces, experiments, and real usage to investigate problems.
  • Strong understanding of how retrieval, prompting, memory, tools, and user experience interact.
  • High ownership, comfort with ambiguity, and strong opinions about effective agent systems.

Nice to have

  • Experience with retrieval, search, or ranking systems.
  • Experience designing evaluations, benchmarks, or feedback loops for LLM systems.
  • Experience building internal tools, workflow products, or operator-facing systems.
  • Startup or other high-ownership experience.
  • Projects involving agent harnesses, LLM evaluations, tool interfaces, memory systems, retrieval systems, model routing, or orchestration experiments.

Culture & Benefits

  • Equity with significant upside for an early-stage team.
  • Competitive, top-of-market salary.
  • Medical, dental, and vision coverage.
  • Monthly wellness stipend and unlimited PTO.
  • Daily meal stipend and dinner coverage when working late.
  • Weekly happy hours and team outings.

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