Software Engineer - Deepgram for Restaurants
Senior or Staff Software Engineer building scalable backend systems and AI pipelines for voice-powered restaurant ordering agents, drive-thru ASR, and real-time analytics at Deepgram. Requires 4+ years backend infrastructure experience and strong AI/ML collaboration.
About the job
Responsibilities
- 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
- 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.
Nice-to-Haves
- 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
Backend Development, AWS, API Design, Python, Kotlin, Java, Docker, Kubernetes, AI/ML, LLMs, Audio Processing
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