9 months ago
Base Salary
$160k - $220k/yr
Responsibilities
- Design, develop, and maintain scalable, high-performance backend systems for the automated order-taking platform.
- Integrate backend systems with ML models and client devices.
- Monitor and optimize backend performance in production environments.
- Build and maintain integrations with restaurant POS, loyalty, payment gateway, and customer data systems.
- Apply system design, code quality, testing, security, and maintainability best practices.
- Optimize AI pipelines for challenging audio environments, ambiguous customer requests, and rapidly changing menus.
- Advance LLM and voice AI capabilities and run experiments to validate product impact.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
- 4+ years of hands-on experience developing, implementing, and maintaining backend infrastructure in production environments.
- Proven experience building and deploying scalable, high-performance backend systems.
- Experience with cloud-based infrastructure and deployment technologies such as AWS and API design.
- Strong problem-solving, communication, collaboration, adaptability, and cross-product ownership skills.
- Preferred experience includes audio, taking backend systems from zero to one, integrating with third-party APIs and point-of-sale systems, Python, Kotlin, Java, Docker, Kubernetes, and AI/ML.
Benefits
- Medical, dental, and vision benefits; annual wellness stipend; mental health support; and life, short-term disability, and long-term disability insurance plans.
- Unlimited PTO, generous paid parental leave, flexible scheduling, and 12 paid US company holidays.
- Quarterly personal productivity stipend, one-time home office upgrade stipend, 401(k) plan with company match, and tax savings programs.
- Learning and education stipend, participation in talks and conferences, employee resource groups, and AI enablement workshops.
- International candidates may receive locally administered benefits through an Employer of Record model; benefits vary by region.
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.