Backend Software Engineer - Engine Team (Voice Agent
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
Job description
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
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.
It Would Be Great If You Had
- Experience with low-latency, multi-model orchestration for AI-enabled applications
- Experience with audio processing
Benefits & conditions
- Medical, dental, vision benefits
- Annual wellness stipend
- Mental health support
- Life, STD, LTD Income Insurance Plans
Work/life blend
- Unlimited PTO
- Generous paid parental leave
- Flexible schedule
- 12 Paid US company holidays
- Quarterly personal productivity stipend
- One-time stipend for home office upgrades
- 401(k) plan with company match
- Tax Savings Programs
Continuous learning
- Learning / Education stipend
- Participation in talks and conferences
- Employee Resource Groups
- AI enablement workshops / sessions
*For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region - in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible.
Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you’re looking to work on cutting-edge technology and make a significant impact in the AI industry, we’d love to hear from you!
About the company
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., 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.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Dev Digest 171: AI in disguise, Doomed tech and system prompts
What is Agentic Programming and Why Should Developers Care?
Dev Digest 213: Petrol Prices, Agentic Workflows, AI Skills and CODE100!
Dev Digest 120 - Apple and peers