[Remote] Software Engineer, Voice Agents / AI - Deepgram for Restaurants

Descrição da Vaga

Requisitos

• 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

Responsabilidades

• They are seeking a Software Engineer to develop and maintain backend systems for their automated order-taking platform in the restaurant sector, collaborating with teams to integrate machine learning models and optimize performance
• 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

Benefícios