Software Engineer - Applied AI (Senior or Staff Level)
About the role
Senior or Staff levelSoftware Engineer position in Deepgram's Applied AI team, focusing on solving tough voice AI problems for enterprise customers with emphasis on robust ASR, model adaptation, and real-time analytics in an AI-first environment.
Responsibilities
- Design, develop, and maintain scalable, high-performance backend systems for our platform
- Improve speech-to-text and text-to-speech quality across an array of environments
- Expand robust scoring and evaluation of our agents
- Fine-tune and adapt models for customer-specific vocabulary and domains
- Optimize the AI pipeline to improve performance in challenging audio environments, robustly handle ambiguous customer requests, and rapidly scale to new domains
- Run experiments to validate the product impact of new functionality
- Collaborate closely with the team to ensure seamless integration between our ML models, backend and client devices
Qualifications
- 4+ years of hands-on experience in developing, implementing, and maintaining cloud infrastructure in production
- Hands-on applied AI/ML experience that goes beyond using LLMs — training, fine-tuning or adapting models yourself
- Experience evaluating AI systems, such as building evaluation or scoring for models or agents
- Excellent problem-solving skills and the ability to adapt to a rapidly evolving startup environment
- Strong communication skills and the ability to work collaboratively with a team
- Willingness to problem solve across our entire product
- Ability to proactively recognize problems and identify solutions to those problems
- Results oriented and care about the impact of your work
Skills

About Deepgram
Building foundational AI for speech transcription and understanding.
Deepgram is a foundational AI company on a mission to understand human language. We give any developer access to the most advanced speech AI transcription and understanding with just an API call. Our models deliver the fastest, most accurate transcription alongside contextual features like summarization, sentiment analysis, and topic detection. Beyond that, developers can: 🔊 Process live-streaming or pre-recorded audio 🌎 Transcribe in dozens of languages ⚙️ Train custom models for unique use cases 🔑 Access deep NLU with a unified API 💻 Build in any programming language with our SDKs ✅ Deploy on-prem or on DG’s managed cloud 📈 Get scalable GPU infra for training and inference Deepgram is a proud NVIDIA partner and Y Combinator company, and we recently completed a $72M Series B to define the future of AI Speech Understanding, making us the most-funded speech AI company at its stage.
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