Software Engineer, Voice Agents / AI - Deepgram for Restaurants

Deepgram Inc.

Job Overview

Location

San Francisco, CA

Job Type

Full-time

Full Job Description

📋 Description

• Design, develop, and maintain scalable, high-performance backend systems for Deepgram’s automated order-taking platform tailored for restaurant environments.
• Collaborate closely with cross-functional teams to ensure seamless integration of backend systems with machine learning models and client-facing devices such as drive-thru speakers and in-restaurant hardware.
• Monitor, troubleshoot, and optimize the performance of production backend systems under real-world conditions including high noise, multi-microphone inputs, and variable audio quality.
• Build and maintain integrations with third-party restaurant software systems including Point of Sale (POS), loyalty programs, payment gateways, and customer data platforms.
• Implement industry best practices in system design, code quality, testing, and security to ensure reliability, scalability, and maintainability of critical order-taking infrastructure.
• Optimize AI pipelines to improve speech-to-text accuracy in challenging audio environments, handle ambiguous customer requests, and rapidly adapt to new restaurant menus and dialects.
• Push the boundaries of large language models (LLMs) and voice AI technology to solve historically difficult challenges in automated restaurant ordering.
• Run controlled experiments to validate the product impact of new features, focusing on metrics like order accuracy, throughput, and customer satisfaction.
• Work directly with leading restaurant enterprises and restaurant technology partners to identify high-impact problems and co-develop solutions.
• Actively use and experiment with advanced AI tools as a core part of daily work, integrating AI into development workflows to enhance productivity and innovation.
• Adapt quickly to a rapidly evolving AI-first environment where change is constant and prescriptive processes are minimal.
• Proactively identify system bottlenecks, reliability issues, or integration gaps and propose and implement solutions without requiring detailed direction.
• Contribute to a culture of continuous learning by participating in AI enablement workshops, technical talks, and conferences.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 4+ years of hands-on experience in developing, implementing, and maintaining backend infrastructure in production environments
• Proven track record of building and deploying scalable, high-performance backend systems
• Experience with cloud-based infrastructure and deployment technologies, such as AWS and API design
• Excellent problem-solving skills and the ability to adapt to a rapidly evolving startup environment
• Strong communication skills and the ability to work collaboratively with a team

🏖️ Benefits

• Medical, dental, vision benefits
• Unlimited PTO
• Annual wellness stipend
• Mental health support
• Life, STD, LTD Income Insurance Plans
• 401(k) plan with company match
• Learning / Education stipend
• Quarterly personal productivity stipend
• One-time stipend for home office upgrades
• 12 Paid US company holidays
• AI enablement workshops / sessions
• Parental leave
• Flexible schedule
• Tax Savings Programs

Skills & Technologies

Python

Java

Kotlin

AWS

Docker

Onsite

Degree Required

Ready to Apply?

Apply Externally

You will be redirected to an external site to apply.

AI Job Fit Analysis

Pro

See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.

Deepgram Inc.

Visit Website

About Deepgram Inc.

Deepgram builds end-to-end speech AI infrastructure that converts live or recorded audio into text and insights. The company trains large-scale neural networks on GPU clusters to deliver low-latency transcription, keyword detection, and speaker diarization through a single API. Developers use the platform for call centers, meetings, podcasts, and voice bots, paying per minute or hosting the engine on-premise. Founded in 2015 and headquartered in San Francisco, Deepgram serves enterprises seeking accurate, private, and customizable speech recognition without vendor lock-in.

View Company Profile

Get more remote jobs like this

Subscribe to the weekly newsletter for similar remote roles and curated hiring updates.

Weekly remote jobs and featured talent.

No spam. Only curated remote roles and product updates. You can unsubscribe anytime.