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.
Company Operating RhythmAt 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.
The Opportunity:We are seeking a Software Engineer to join our Enterprise AI Team- a new, vertically focused business unit dedicated to solving the toughest problems in the space, working alongside Deepgram’s core research teams.
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 DoDesign, 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
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
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
Skills Required
- 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
What the Team is Saying
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Deepgram Compensation & Benefits Highlights
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Healthcare Strength — Benefits include medical, dental, and vision insurance plus mental-health support, life insurance, and short/long-term disability. The breadth of coverage indicates strong protection for core and ancillary health needs.
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Leave & Time Off Breadth — Policies include remote-first work, flexible schedules, unlimited PTO, and 12 paid U.S. holidays. This combination supports extensive time-off access and flexibility.
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Wellbeing & Lifestyle Benefits — Wellness and learning stipends, conference participation, and WFH support via a quarterly productivity stipend and a one-time office upgrade stipend expand support beyond core insurance. These resources encourage sustained wellbeing and productive remote work.
Deepgram Insights
What We Do
Deepgram is the leading voice AI platform for developers building speech-to-text (STT), text-to-speech (TTS) and full speech-to-speech (STS) offerings. 200,000+ developers build with Deepgram’s voice-native foundational models – accessed through APIs or as self-managed software – due to our unmatched accuracy, latency and pricing. Customers include software companies building voice products, co-sell partners working with large enterprises, and enterprises solving internal voice AI use cases. The company ended 2024 cash-flow positive with 400+ enterprise customers, 3.3x annual usage growth across the past 4 years, over 50,000 years of audio processed and over 1 trillion words transcribed. There is no organization in the world that understands voice better than Deepgram.
Why Work With Us
Our culture, like our product, is constantly learning and evolving, but the heart of our team is enduring. We are a self-motivated, positive, passionate, and competitive group of people. At Deepgram, we put an emphasis on being ourselves, being curious, growing together, and being human. We are a unique bunch who celebrate our differences.
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Deepgram Offices
Remote Workspace
Employees work remotely.
