Назад
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14 часов назад

AI Engineer

170 000 - 300 000$
Формат работы
hybrid
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

Текст:
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TL;DR
AI Engineer (LLM Agents): Building production AI agents and the shared platform that supports their harness, memory, tools, retrieval, and evaluation with an accent on reliability, steerability, and measurable task completion. Focus on designing agent-driven GTM workflows, building evaluation and feedback systems, and solving real-world production failures in backend infrastructure.

Location: New York, hybrid

Salary: $170,000–$300,000 per year plus equity

Company

hirify.global is a growth platform helping organizations reach customers through unique data, signals, and AI research.

What you will do

  • Design and iterate on AI agent behavior across real go-to-market workflows such as market sourcing, audience building, and enrichment.
  • Map manual multi-step workflows into reliable agent-driven product flows.
  • Build evaluation frameworks that measure task completion, quality, regressions, and performance.
  • Develop agent infrastructure including harnesses, memory systems, tool infrastructure, and retrieval architecture.
  • Improve prompting, tool use, context construction, guardrails, and production feedback loops.
  • Partner with product and engineering teams to take agent features from prototypes through beta and general availability.

Requirements

  • Experience building or shipping production systems with LLMs or AI agents.
  • Strong backend fundamentals in APIs, databases, and distributed systems.
  • Experience designing model or agent evaluations and turning quality questions into measurable signals.
  • Ability to debug real-world failures and improve system robustness through rapid iteration.
  • Experience with prompting, tool-use design, agent orchestration, retrieval, structured extraction, or fine-tuning.
  • Experience with agent frameworks, tool-calling systems, vector or hybrid search, or RAG.

Nice to have

  • Experience maintaining evaluation or benchmark infrastructure for LLM-based systems.
  • Experience with GTM, sales, or marketing workflows.
  • Familiarity with React, TypeScript, Python, AWS, Aurora/Postgres, ECS/Fargate, Lambda, OpenSearch, Redis, Terraform, or Datadog.

Culture & Benefits

  • Work alongside product, research-adjacent, and engineering teammates.
  • Access to world-class coaches specializing in creativity, management, and related areas.
  • Collaborative culture focused on curiosity, open-mindedness, learning, and fast iteration.
  • Equity participation is offered.

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