后端软件工程师 - 引擎团队(语音代理)
Backend Software Engineer - Engine Team (Voice Agent)
Deepgram
岗位信息
以下为根据雇主原文整理的中文岗位要点,方便快速了解职责与要求。完整条件请展开下方招聘原文核对。
岗位职责要点
- 优化核心推理服务,涵盖网络、语音处理、模型编排和可观测性
- 开发与前沿AI模型的集成,支持感知和对话管理
任职要求要点
- 具备系统级调试能力,涵盖网络与高并发场景
- 具体要求请核对完整招聘原文
查看完整招聘原文
国际远程岗位,招聘地区:USA
- Remote。远程不等于全球可申请;请核对原招聘中的居住地、工作许可、时区、语言与出差要求。以下保留雇主英文原文。
Employer-published remote role. Listed location(s): USA
- Remote. Remote does not imply worldwide eligibility. Check the original listing for residency, work authorization, time zone, language and travel requirements.
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 Notice: We're aware of individuals impersonating Deepgram recruiters. All legitimate Deepgram recruiting communication comes from an @deepgram.com email address. If you've received a message claiming to be Deepgram, please forward it to [email protected].