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Описание вакансии
Текст:
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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