Software Engineer - Applied AI

The role

You will ship production features in live voice agent products and own customer problems end to end. You will build reusable agent modules and contribute to fine-tuning and model adaptation.

What you will do

• Ship production features in live voice agent products within your first quarter
• Own customer problems end to end from root cause to production fix
• Help build reusable agent modules like ordering and reservations
• Make agents more accurate on real-world menus and catalogs
• Contribute to fine-tuning and model adaptation
• Spot problems across the product and propose solutions
• Run experiments to show if new functionality improves customer outcomes

Required qualifications

• Experience building and shipping backend services that run in production in the cloud
• Operates AI-native using modern AI coding tools as default way of working
• Learns quickly and takes on unfamiliar parts of the stack with little ramp-up
• Finds work instead of waiting for it
• Has taken something from idea to production
• Communicates clearly with teammates and is comfortable working directly with customers
• Builds for the customer's outcome with a high bar for quality and no over-engineering
• Comfortable working across languages including Kotlin, Python, and TypeScript

Nice to have

• Hands-on experience training, fine-tuning, or adapting models
• Experience building evaluation or scoring for models or agents
• Experience with audio, speech-to-text, or text-to-speech
• Experience as a founder or early startup engineer, or taking a system from zero to one
• Typically 2+ years of engineering experience, or equivalent demonstrated experience

About the company

Deepgram is a research company that productizes as fast as possible. Their speech models and real-time infrastructure power AI systems for more than 5,000 organizations.