Software Engineer, Voice Agents / AI - Deepgram for Restaurants

DEEPGRAM, INC.
San Francisco, CA, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$160,000.0 - $250,000.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Software Quality Customer Data Management Hardware Design Python (Programming Language) Machine Learning Payment Gateway Software Systems Cloud Platform System
+8 more
Large Language Models Backend Kotlin Containerization Information Technology Api Design Stream Analytics Docker

Job description

We’ll be working directly with leading restaurant enterprises and leading restaurant technology partners to uncover and solve the highest-impact problems in the space. Early focus areas include:

  • Ultra-robust ASR in noisy, multi-mic environments
  • High-accuracy, menu-aware drive-thru and phone ordering agents
  • Real-time analytics and operational intelligence
  • Deeper, more reliable in-restaurant hardware integration

We are already partnering with several leading brands and will continue expanding these efforts

What You’ll Do

  • Design, develop, and maintain scalable, high-performance backend systems for our automated order-taking platform
  • Collaborate closely with our team to ensure the seamless integration of our backend with our ML models and client devices
  • Monitor and optimize the performance of our backend systems in production environments
  • Build and maintain integrations with 3rd party restaurant software systems like POS, loyalty, payment gateways, and customer data platforms
  • Implement best practices in system design, code quality, and testing to ensure a reliable, secure, and maintainable system
  • Optimize AI pipeline to improve performance in challenging audio environments, robustly handle ambiguous customer requests, and rapidly scale to new menus
  • Push the very boundaries of LLMs and voice AI technology to solve one of the technology industry’s historically elusive challenges
  • Run experiments to validate the product impact of new functionality

Requirements

Do you have experience in Scalable systems?, * 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
  • Willingness to problem solve across our entire product
  • Ability to proactively recognize problems and identify solutions to those problems
  • Results oriented and care about the impact of your work

It Would Be Great if You Had

  • Experience working with audio
  • Experience taking a backend system from zero to one
  • Experience building and maintaining a system that integrates with many 3rd party APIs, particularly Point of Sale systems
  • Experience with Python, Kotlin, or Java
  • Experience with containerization tools, such as Docker and Kubernetes
  • Experience working in or alongside AI / ML

Benefits & conditions

Pulled from the full job description

  • Paid parental leave
  • Parental leave
  • Health insurance
  • 401(k) matching
  • Vision insurance
  • Dental insurance
  • Life insurance, * San Francisco Tier 1 Salary Range $160K - $250K * Offers Equity * Offers Bonus * 10% Annual Bonus, * Medical, dental, vision benefits
  • Annual wellness stipend
  • Mental health support
  • Life, STD, LTD Income Insurance Plans

Work/life blend

  • Unlimited PTO
  • Generous paid parental leave
  • Flexible schedule
  • 12 Paid US company holidays
  • Quarterly personal productivity stipend
  • One-time stipend for home office upgrades
  • 401(k) plan with company match
  • Tax Savings Programs

Continuous learning

  • Learning / Education stipend
  • Participation in talks and conferences
  • Employee Resource Groups
  • AI enablement workshops / sessions

  • For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region - in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.

Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you’re looking to work on cutting-edge technology and make a significant impact in the AI industry, we’d love to hear from you!

About the company

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram., At Deepgram, we expect an AI-first mindset-AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.

Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.

Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · WWC 2025

3:09 min

Understanding Kotlin Multiplatform and its compiler targets

Petar Marijanović · LIVE

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

1:44 min

Summarizing developer experience and artificial intelligence companions

Robert Hoffmann Robert Hoffmann +1 · LIVE

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · WWC Europe 2026

2:37 min

Optimizing technical profiles for AI sourcing and recruitment

Mina Golesorkhi Mina Golesorkhi · WWC Europe 2026

Videos

See all

Related articles

See all