Company Overview
Deepgram is the leading platform underpinning the emerging trillion-dollar Voi
ce AI e
conomy, providing real-time APIs for spee
ch-to-text (STT), text-to-spee
ch (TTS), and building produ
ction-grade voi
ce agents at s
cale. More than 200,000 developers and 1,300+ organizations build voi
ce offerings that are ‘Powered by Deepgram’, in
cluding Twilio,
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Cloudflare, Sierra, De
cagon, Vapi, Daily,
Cresta, Granola, and Ja
ck in the Box. Deepgram’s voi
ce-native foundation models are a
ccessed through
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cloud APIs or as self-hosted and on-premises software, with unmat
ched a
ccura
cy, low laten
cy, and
cost effi
cien
cy. Ba
cked by a re
cent Series
C led by leading global investors and strategi
c partners, Deepgram has pro
cessed over 50,000 years of audio and trans
cribed more than 1 trillion words. There is no organization in the world that understands voi
ce better than Deepgram.
Company Operating Rhythm
At Deepgram, we expe
ct an AI-first mindset—AI use and
comfort aren’t optional, they’re
core to how we operate, innovate, and measure performan
ce.
Every team member who works at Deepgram is expe
cted to a
ctively use and experiment with advan
ced AI tools, and even build your own into your everyday work. We measure how effe
ctively AI is applied to deliver results, and
consistent,
creative use of the latest AI
capabilities is key to su
ccess here.
Candidates should be
comfortable adopting new models and modes qui
ckly, integrating AI into their workflows, and
continuously pushing the boundaries of what these te
chnologies
can do.
Additionally, we move at the pa
ce of AI.
Change is rapid, and you
can expe
ct your day-to-day work to evolve just as qui
ckly. This may not be the right role if you’re not ex
cited to experiment, adapt, think on your feet, and learn
constantly, or if you’re seeking something highly pres
criptive with a traditional 9-to-5.
Opportunity
Deepgram is looking for a
class="bg-amber-100">ba
ckend software
engineer to lead the design and implementation of Deepgram’s Voi
ce Agent produ
ct. You will design and implement se
cure, robust, and s
calable servi
ces for spee
ch pro
cessing; build integrations supporting telephony providers, RAG systems, and diverse deployment s
cenarios;
engineer for testability and observability within a
complex
chain of AI models; and more. Your skill at building highly reusable
code that over
comes
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chni
cal
challenges is paired with an intuition for delightful user experien
ces. You will be a
criti
cal voi
ce in Deepgram’s Produ
ct and
Engineering teams, driving high impa
ct produ
cts 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 class="bg-amber-100">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
- class="bg-amber-100">Programming experience in Rust (or C, C++), with competence in class="bg-amber-100">Python
- Excellent communication and organizational skills, both written and verbal.
- A high level of experience and understanding of version control; preferably class="bg-amber-100">git.
- Comprehensive experience with UNIX-style systems.
It Would Be Great If You Had
- Experience with low-latency, multi-model orchestration for AI-enabled class="bg-amber-100">applications
- Experience with audio processing