12 hours ago
Base Salary
$174k - $212k/yr
Responsibilities
- Ship production features for live voice agent products within the first quarter.
- Own customer problems end to end, from identifying root causes through production fixes.
- Build reusable agent modules for workflows such as ordering and reservations.
- Improve agent accuracy on real-world menus and catalogs while maintaining structured data across locations.
- Contribute to model fine-tuning and adaptation for customer-specific vocabularies and domains.
- Identify product problems proactively and propose or implement solutions.
- Run experiments to assess whether new functionality improves customer outcomes.
- Work directly with enterprise customers and technology partners.
Requirements
- Experience building and shipping production backend services in the cloud.
- Use modern AI coding tools as a default part of the development workflow without lowering quality.
- Ability to learn unfamiliar parts of the stack quickly and take work from idea to production.
- Clear communication skills and comfort working directly with customers.
- Ability to work across Kotlin and Python, with TypeScript used on the front end.
- Typically 2+ years of engineering experience or equivalent demonstrated experience.
- Preferred: hands-on experience training, fine-tuning, or adapting models.
- Preferred: experience building evaluation or scoring systems for models or agents.
- Preferred: experience with audio, speech-to-text, or text-to-speech.
- Preferred: founder, early startup engineer, or zero-to-one system development experience.
Benefits
- The team works in person in San Francisco.
- The company expects an AI-first working style with active experimentation and use of advanced AI tools.
Tech Stack
Categories
About Deepgram
Deepgram builds Voice AI infrastructure for developers, offering speech-to-text, text-to-speech, and voice agent tooling through real-time APIs and deployable on-prem software. Privately held and founded in 2015, the company is headquartered in San Francisco. Customers such as Twilio, Cloudflare, and Jack in the Box use its models to power production voice features; products include Nova-3 STT, Aura TTS, and a Voice Agent API.