1Mind
AI System Engineer
About this role
1mind is seeking an AI Systems Engineer to design and build the technical backbone for multimodal AI agents that interact through voice, video, and text in real-time. You'll architect low-latency pipelines integrating speech recognition, language models, text-to-speech, and avatar rendering while ensuring reliability and scalability in production environments.
What you'll do
- Design real-time multimodal pipelines connecting ASR, LLMs, TTS, and avatar rendering systems
- Build observability and monitoring infrastructure with metrics, tracing, and performance instrumentation
- Develop tools for model deployment, versioning, and scaling across production environments
- Create automated testing and evaluation frameworks to ensure quality across audio, video, and language modalities
- Optimize system for low latency, high reliability, and graceful error handling
- Collaborate with product and AI teams to enable knowledge-based training and contextual understanding
What they're looking for
- Machine learning systems and applied AI (LLMs, ASR, TTS)
- Real-time and streaming systems architecture
- Python programming
- Kubernetes or container orchestration
- Model productionization and serving at scale
- TypeScript for orchestration logic
- Testing, metrics, and observability practices
- Multimodal AI frameworks (LangChain, Pipecat, or Daily preferred)
Benefits
- Work on cutting-edge multimodal AI systems combining voice, video, and reasoning
- High-ownership role with deep technical scope and product impact
- Remote-friendly position (US-based, San Francisco preferred)
- Global, fast-moving team shipping production-grade AI at scale
- Intersection of AI research, infrastructure, and real-time human-AI interaction
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1Mind
1Mind builds multimodal AI agents that interact with users through voice, video, and text in real-time, requiring sophisticated low-latency technical architectures. The company is hiring AI Systems Engineers to design and build the production-grade infrastructure that powers these conversational AI experiences.
View all jobs at 1MindLikely interview questions
- Walk us through a real-time multimodal system you've built or worked on. How did you handle synchronization and latency across audio, video, and language components?
- Describe your experience productionizing ML models in a live environment. What monitoring and observability practices did you implement, and how did you catch issues before they affected users?