Backend Software Engineer (Voice AI)

TL;DR

Backend Software Engineer (Voice AI): Leading the design and implementation of Deepgram’s Voice Agent product, building secure, robust, and scalable services for speech processing with an accent on integrations, testability, and observability within complex AI model chains. Focus on improving core inference services, developing integrations with cutting-edge AI models, and debugging highly concurrent system issues.

Location: Remote (USA)

Salary: $150,000–$220,000

Company

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT) and text-to-speech (TTS).

What you will do

• Improve core inference services in areas such as networking, speech processing, model orchestration, and observability.
• Develop integrations with cutting-edge in-house, third-party, and open-source AI models for perception and managing conversational dynamics.
• Debug complex system issues that include networking, scheduling, and highly concurrent workloads.
• Rapidly customize backend services to support customer needs.
• Partner with Product to design and implement new services, features, and products end-to-end.

Requirements

• 3+ years of experience in an industry role.
• Programming experience in Rust (or C, C++), with competence in Python.
• Excellent communication and organizational skills, both written and verbal.
• A high level of experience and understanding of version control; preferably git.
• Comprehensive experience with UNIX-style systems.

Nice to have

• Experience with low-latency, multi-model orchestration for AI-enabled applications.
• Experience with audio processing.

Culture & Benefits

• Medical, dental, and vision benefits, along with mental health support.
• Unlimited PTO, generous paid parental leave, and a flexible schedule.
• 12 Paid US company holidays.
• Quarterly personal productivity stipend and a one-time stipend for home office upgrades.
• 401(k) plan with company match and tax savings programs.
• Learning/education stipends, participation in talks and conferences, and AI enablement workshops.