EngineeringOn-site

Software Engineer - Applied AI (Senior or Staff Level)

Deepgram · On-site

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Last seen by MeritLog September 12, 2026Source: AshbySource version: ashby-public-job-posting-v1

MeritLog read this listing from Deepgram's Ashby job board and last checked it on September 12, 2026.

Source: the employer's Ashby job board. Open the original listing for current details.

Job details

Work model: On-site
Salary: $197K - $307K
Location: San Francisco, CA
Occupation: Software Developers(O*NET 15-1252.00)

Hiring context

How this role compares at Deepgram

Deepgram has 92 live roles in MeritLog’s catalog across 10 job families, and 35 of them are in engineering. 64 of those listings publish a pay range, a disclosure rate of 70%.

This role's posted range of $197K - $307K sits above 89% of the 63 other Deepgram roles quoted over the same currency and period.

Deepgram concentrates this hiring in:

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

What you'd 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
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

Parsed by MeritLog from the employer’s own posting. The full description follows below.

Job description

COMPANY OVERVIEW 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 RHYTHM 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. 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 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 IT’S IMPORTANT TO US THAT YOU HAVE - 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 Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com http://deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to careers@deepgram.com.

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