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AI System Engineer
1mind
Remote - US
Full-Time
Description
- Design and build real-time multimodal pipelines connecting ASR, LLMs, TTS, and avatar rendering into cohesive experiences
- Develop the observability layer for the pipeline, metrics, tracing, and performance instrumentation for end-to-end visibility
- Build infrastructure management tools to deploy, version, and scale models powering Superhuman interactions
- Develop automated tests and evaluation frameworks to ensure reliability, synchronization, and quality across modalities
- Integrate and optimize the full system with a focus on low latency, high reliability, and graceful degradation
- Collaborate with product and AI teams to enable Superhumans to drive presentations, play media, share information, and be trained on knowledge bases for deeper contextual understanding
Eligibility Criteria
- Experience in ML systems or applied AI, particularly in LLMs, ASR, or TTS pipelines
- Strong background in real-time or streaming systems and concurrent architectures
- Proven ability to productionize AI models, serving, scaling, and monitoring them in live environments
- Proficiency in Python; experience deploying systems on Kubernetes or similar orchestration frameworks
- Familiarity with TypeScript for frontend or orchestration logic
- Comfort with automated testing, metrics, and observability as part of core development practice
- Excitement about building multimodal AI systems that combine voice, video, and reasoning in real time
- Plus: Exposure to multimodal orchestration frameworks such as LangChain, Pipecat, or Daily
- Plus: Experience with latency optimization, streaming architectures, or real-time synchronization
About 1mind
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