Назад
2 дня назад

Product Engineer (Python/AI)

200 000 - 400 000$
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
Product Engineer (Python/AI): Building self-serve systems for configuring, training, testing, deploying, and monitoring sophisticated AI agents with an accent on scalable abstractions, enterprise workflows, and actionable observability. Focus on designing asynchronous systems, debugging failures at scale, building no-code agent tooling, and evaluating and integrating text and voice models into production traffic.

Location: On-site in New York City, United States

Base salary: $200,000–$400,000 per year, plus equity.

Company

Decagon develops a conversational AI platform that enables enterprises to deploy personalized customer experience 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.
  • Handle agentic systems and critical customer flows at scale.
  • Evaluate text and voice models and integrate successful models into production traffic.

Requirements

  • 7+ years of experience building software products with strong product judgment.
  • Proficiency in Python and comfort working across the full stack.
  • Experience translating complex technical capabilities into simple, usable interfaces.
  • Strong understanding of complex systems, asynchronous programming, and large-scale failure modes.
  • Ability to debug deep technology stacks and turn customer needs into clear product and technical specifications.
  • Ability to work on-site in New York City, United States.

Nice to have

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

Culture & Benefits

  • In-office environment focused on execution, product quality, and velocity.
  • Medical, dental, and vision benefits for employees and families.
  • Life insurance, disability benefits, retirement plan, and parental leave.
  • Fertility and family-building benefits plus a monthly wellness and lifestyle stipend.
  • Daily office lunches and snacks and a take-what-you-need vacation policy.
  • Equity in addition to base salary.

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