В Deepgram понятная практическая роль в production Voice AI с заметной ответственностью и задачами по адаптации моделей. Быстрый темп стартапа и обязательная работа в офисе подойдут не всем.
Высокий темп
Выше рынка
Современный стек
Сфера Voice AI
Ответственность за результат
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer - Applied AI (Voice AI/Kotlin/Python): Building and shipping production features for real-time voice agent products, including ordering, reservations, model adaptation, and operational analytics, with an accent on customer-driven backend services and speech technology. Focus on fine-tuning models, evaluating agent performance, integrating on-site hardware, and solving real-world voice AI problems from zero to one.
Location: San Francisco, CA, United States; onsite
Salary: $173.8K–$212.4K annually, plus equity and a 10% bonus
Company
Deepgram provides real-time APIs and self-hosted or on-premises software for speech-to-text, text-to-speech, and production voice agents.
What you will do
Ship production features for live voice agent products, including drive-thru and phone ordering.
Own customer problems end to end by identifying root causes and delivering fixes to production.
Build reusable agent modules for ordering, reservations, and faster customer launches.
Improve agent accuracy on real-world menus and catalogs while keeping structured data consistent across locations.
Contribute to model fine-tuning and adaptation for customer-specific vocabulary and domains.
Run experiments, identify product problems proactively, and evaluate whether new functionality improves customer outcomes.
Requirements
Experience building and shipping production backend services in the cloud.
Use modern AI coding tools as the default way of working without lowering the quality bar.
Ability to learn quickly, work across unfamiliar parts of the stack, and take ownership from idea to production.
Proactive problem-solving, clear communication, and comfort working directly with customers.
Strong focus on customer outcomes, quality, and avoiding over-engineering.
Comfort working across languages; the stack is mainly Kotlin and Python, with TypeScript on the front end.
Nice to have
Hands-on experience training, fine-tuning, or adapting models through work, research, or substantial projects.
Experience building evaluation or scoring systems for models or agents.
Experience with audio, speech-to-text, or text-to-speech.
Founder or early-stage startup engineering experience, or experience taking a system from zero to one.
Typically 2+ years of engineering experience, or equivalent demonstrated experience.
Culture & Benefits
AI-first operating model requiring active use and experimentation with advanced AI tools.
Fast-changing environment focused on experimentation, adaptation, and continuous learning.
Small Applied AI team working in person in San Francisco and staying close to enterprise customers and technology partners.
Equity and a 10% bonus are offered in addition to salary.
Hiring process
Legitimate recruiting communication comes only from an @_deepgram.com email address.
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