Software Engineer - Applied AI (Senior or Staff Level) at Deepgram — San Francisco, CA

Company Overview

Company Operating Rhythm

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-through 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