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Описание вакансии
Текст:
TL;DR
Product Engineer (AI): Building systems that let enterprise customers configure, train, test, deploy, and monitor sophisticated AI agents across chat, voice, email, and SMS with an accent on self-serve workflows, usable abstractions, and production-scale reliability. Focus on designing asynchronous systems, debugging complex failures, building observability and analytics tooling, and evaluating new text and voice models for production use.
Location: San Francisco, United States; in-office role
Base salary: $200,000–$400,000 per year, plus equity.
Company
Decagon builds a conversational AI platform that enables enterprises to deliver customer experiences through AI 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 systems that reveal agent failures and their causes.
- Own features end to end, from technical architecture and product discovery through deployment and iteration.
- Evaluate new text and voice models and integrate successful models into production traffic.
Requirements
- 7+ years of experience building software products with strong product thinking.
- 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 scale-related failure modes.
- Strong debugging skills across deep technology stacks and ability to turn customer needs into clear technical specifications.
- Ability to work in the San Francisco office.
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, customer needs, innovation, and high standards.
- Medical, dental, and vision coverage for employees and families.
- Life insurance, disability benefits, retirement plan, and parental leave.
- Fertility and family-building benefits through Carrot.
- Monthly wellness and lifestyle stipend, daily office lunches and snacks, and a flexible vacation policy.
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