Назад
10 дней назад

Software Engineer, Internal Agent (AI)

208 000 - 312 000$
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

Текст:
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TL;DR
Software Engineer, Internal Agent (AI): Building V, an agentic interface and infrastructure for answering questions, analyzing data, and executing complex multi-system workflows across Slack, web, and other surfaces with an accent on TypeScript, agent architecture, tool use, and reliable long-running tasks. Focus on designing intent-aware planning systems, evaluation and observability mechanisms, interactive generated interfaces, and primitives for extending agent capabilities across the organization.

Location: San Francisco, California, United States

Salary: $208,000–$312,000 annual base pay; compensation may vary outside San Francisco and may include equity, benefits, and bonus eligibility.

Company

Vercel builds agentic infrastructure and developer products including Next.js, v0, and AI SDK to help teams move software from idea to production.

What you will do

  • Design and build V as an agentic interface for answering questions, analyzing data, and executing complex workflows across Vercel.
  • Develop agent architecture for intent understanding, planning, skill and tool selection, failure recovery, and reliable long-running task execution.
  • Build natural-language and interactive experiences across Slack, web, and other product surfaces.
  • Create evaluation, observability, and feedback systems to measure accuracy, usefulness, efficiency, and trustworthiness.
  • Establish reusable primitives that allow teams to add capabilities without fragmented agents or inconsistent experiences.
  • Turn the experience of operating Vercel through an agent into infrastructure and ideas for future customer products.

Requirements

  • 7+ years of full-time software engineering experience.
  • Strong TypeScript proficiency.
  • Experience working across conversational interfaces, interactive data experiences, APIs, queues, databases, permissions, and production infrastructure.
  • Understanding of AI interaction quality, including context selection, tool use, memory, latency, generated interfaces, uncertainty, progress communication, and escalation.
  • Openness and adaptability when learning unfamiliar technologies, domains, and responsibilities.

Nice to have

  • Experience using or building agent harnesses such as OpenClaw, Hermes, or Pi.

Culture & Benefits

  • Competitive compensation package with potential equity and role-dependent bonus eligibility.
  • Inclusive healthcare package.
  • Mentorship and support for attending professional events.
  • Flexible time off.
  • Company-provided equipment and a work-from-home budget.

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