Bachelor's or Master's degree in Computer Science, Engineering, or related field
4+ years of hands-on experience in backend infrastructure development
Proven track record in building scalable, high-performance backend systems
Experience with cloud infrastructure and deployment technologies like AWS
Strong problem-solving skills and adaptability in startup environments
Collaborative communication skills
Results-oriented with a focus on impact
Responsibilities
Design and maintain scalable backend systems for order automation
Collaborate on backend integration with ML models and devices
Monitor and optimize backend performance in production
Integrate with 3rd party restaurant software systems
Implement best practices in system design and testing
Enhance AI pipeline for challenging audio environments
Experiment to validate the product impact of new functionalities
Benefits
Medical, dental, and vision insurance
Annual wellness stipend and mental health support
Unlimited PTO and flexible work schedule
Generous paid parental leave
401(k) plan with company match
Learning and education stipend for professional development
AI enablement workshops and participation in industry events
Full Job Description
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 [redacted].com email address. If you've received a message claiming to be Deepgram, please forward it to [redacted].
