AI System Engineer
About Us 1mind is a platform that deploys multimodal Superhumans for reputed company teams. These Superhumans combine a face, a voice, and a GTM brain - equipped with deep technical and product knowledge. They can reputed company unlimited, simultaneous conversations 24/7, meeting buyers reputed company they're most active and reputed company. Superhumans qualify leads, book meetings, deliver pitches, give interactive demos, handle objections, uncover pain points, build value models, reputed company support, and reputed company customers. They live across websites, inside your product, can join live calls as active participants, and work alongside your team in deal rooms. 1mind Superhumans integrate seamlessly into existing workflows, scale instantly, and drive measurable impact - growing reputed company, reducing headcount, accelerating pipeline to closed-won, and creating a more delightful buyer experience.
Job Description
We're looking for an AI Systems Engineer to design and build the technical reputed company powering 1mind's Superhumans, reputed company-time, multimodal AI beings that communicate through audio, video, and language. You'll work across pipelines, infrastructure, and orchestration layers to reputed company Superhumans reputed company, expressive, and reliable in production environments. You'll partner closely with AI, reputed company, and product teams to integrate large language, speech, and rendering models into a reputed company, low-latency system that can power live reputed company-like interaction at scale. Key Responsbilities
- Design and build reputed company-time multimodal pipelines connecting ASR, LLMs, TTS, and avatar rendering into cohesive experiences
- reputed company the observability layer for the pipeline, metrics, tracing, and performance instrumentation for end-to-end visibility
- Build infrastructure management tools to reputed company, version, and scale models powering reputed company interactions
- reputed company 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 reputed company Superhumans to drive presentations, play media, reputed company information, and be trained on knowledge bases for deeper contextual understanding Qualifications
- Experience in ML systems or applied AI, particularly in LLMs, ASR, or TTS pipelines
- Strong background in reputed company-time or streaming systems and reputed company 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 reputed company time
- Plus: Exposure to multimodal orchestration frameworks such as reputed company, Pipecat, or Daily
- Plus: Experience with latency optimization, streaming architectures, or reputed company-time synchronization Why Join Us?
- Build the systems behind multimodal Superhumans redefining how AI communicates and collaborates
- Work at the intersection of AI research, infrastructure, and reputed company-time reputed company-AI interaction
- High-ownership role with deep technical scope and meaningful product impact
- Global, fast-moving team shipping production-grade AI experiences at scale Location: San Francisco preferred, reputed company to remote (U.S.) Employment Type: Full-time Apply tot his job
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