Software Engineer - Deepgram for Restaurants

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.