Deepgram
Backend Software Engineer - Engine Team (Voice Agent) at Deepgram
$150,000–$220,000 / year
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An at-a-glance view of the facts included with this Backend Software Engineer - Engine Team (Voice Agent) at Deepgram listing.
- Company
- Deepgram
- Location
- Remote, United States
- Work arrangement
- Remote
- Employment type
- Full-time
- Compensation
- $150,000–$220,000 / year
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Role overview
This job description has been rewritten in fresh language using the facts in the listing. Source credit and original listing details are available below.
Deepgram is hiring a full-time Backend Software Engineer for its Voice Agent Engine Team. This remote role is open in the United States and pays $150,000–$220,000 per year. The engineer will lead the design and implementation of the Voice Agent product, building secure, reliable, scalable backend services for speech processing and supporting integrations across telephony providers, retrieval-augmented generation (RAG) systems, and different deployment scenarios.
The work spans Deepgram’s inference services, including networking, speech processing, model orchestration, and observability. You’ll also integrate in-house, third-party, and open-source AI models, investigate complex issues involving scheduling and highly concurrent workloads, adapt services to customer needs, and partner with Product to deliver services, features, or products from concept through implementation. The team values reusable, testable code and thoughtful tradeoffs between minimal changes and deeper design work.
Deepgram expects employees to use and experiment with advanced AI tools in their everyday work, and to adapt as tools and priorities change. The company describes its pace as fast-moving and says the work may not suit someone seeking a highly prescriptive role or a traditional 9-to-5 schedule.
Role at a glance: Remote U.S. full-time backend engineering role on Deepgram’s Voice Agent product, with annual compensation of $150,000–$220,000.
Responsibilities mentioned in the listing
- Improve core inference services across networking, speech processing, model orchestration, and observability.
- Integrate in-house, third-party, and open-source AI models for perception and conversational dynamics.
- Debug complex system problems involving networking, scheduling, and highly concurrent workloads.
- Customize backend services to address customer needs.
- Work with Product to design and implement services, features, and products end to end.
- Design and implement secure, robust, scalable speech-processing services and integrations for telephony providers, RAG systems, and varied deployment scenarios.
Qualifications stated in the listing
- At least 3 years of industry experience.
- Programming experience in Rust, C, or C++, and competence in Python.
- Strong written and verbal communication and organizational skills.
- Advanced understanding of version control, preferably Git.
- Extensive experience with UNIX-style systems.
- Comfort adapting quickly, learning on the job, and working in a fast-paced, impact-driven environment.
- Helpful additional experience: low-latency, multi-model orchestration for AI-enabled applications or audio processing.
Full details from the source listing
Company Overview
Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram.
Company Operating Rhythm
At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance.
Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do.
Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5.
Opportunity
Deepgram is looking for a backend software engineer to lead the design and implementation of Deepgram’s Voice Agent product. You will design and implement secure, robust, and scalable services for speech processing; build integrations supporting telephony providers, RAG systems, and diverse deployment scenarios; engineer for testability and observability within a complex chain of AI models; and more. Your skill at building highly reusable code that overcomes technical challenges is paired with an intuition for delightful user experiences. You will be a critical voice in Deepgram’s Product and Engineering teams, driving high impact products from start to finish.
What You’ll Do
Improve Deepgram’s core inference services including areas in 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 our customer needs
Partner with Product to design and implement new services, features, and/or products end to end
You’ll Love This Role If You
Thrive in a fast-paced, impact-driven environment where learning new skills on-the-fly is not only encouraged but a regular necessity
Enjoy balancing decisions about product and feature maturity to decide when to make minimally invasive changes versus when to incorporate detailed design work
It’s Important To Us That You Have
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.
It Would Be Great If You Had
Experience with low-latency, multi-model orchestration for AI-enabled applications
Experience with audio processing
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