Назад
2 дня назад

Software Engineer (AI)

200 000 - 400 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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 (AI): Building systems that let enterprise customers configure, train, test, deploy, and monitor sophisticated AI agents across voice, chat, email, and SMS with an accent on self-serve tooling, scalable abstractions, and product-focused engineering. Focus on designing agent workflows, building monitoring and analytics, debugging asynchronous systems at scale, and evaluating and integrating new text and voice models.

Location: San Francisco, United States; in-office role

Base salary: $200K–$400K annually, plus equity.

Company

Decagon develops a conversational AI platform that enables enterprises to deploy personalized customer-service agents across voice, chat, email, SMS, and other channels.

What you will do

  • Build self-serve functionality for configuring, training, testing, and deploying AI agents.
  • Design configuration abstractions that support diverse enterprise use cases while remaining usable by non-technical teams.
  • Develop AI-powered tools for creating and managing complex agent workflows without code.
  • Build monitoring, tracing, and analytics that reveal agent failures and actionable performance signals.
  • Own features end to end, from technical architecture through deployment and post-launch iteration.
  • Evaluate new text and voice models and integrate successful models into production traffic.

Requirements

  • 4+ years of experience building software products.
  • Strong proficiency in Python and comfort working across the full stack.
  • Ability to translate complex technical capabilities into simple, usable interfaces.
  • Experience with asynchronous programming, complex systems, and large-scale failure modes.
  • Strong debugging skills across deep technology stacks and the ability to turn customer needs into clear technical specifications.
  • Product judgment about when to ship quickly and when to build for long-term correctness.

Nice to have

  • Experience with LLMs, prompt engineering, evaluations, or AI agent systems.
  • Experience building developer tools, APIs, platforms, or internal tools that became customer-facing.
  • Background in observability, data visualization, analytics, authentication, or data access controls.
  • Experience with multimodal or voice models.

Culture & Benefits

  • In-office environment focused on execution, invention, excellence, and velocity.
  • Medical, dental, vision, life insurance, and disability benefits.
  • Retirement plan, parental leave, and fertility and family-building benefits.
  • Monthly wellness and lifestyle stipend.
  • Daily office lunches and snacks.
  • Flexible vacation policy subject to local requirements.

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