Description:

1mind is a platform that deploys multimodal Superhumans for revenue teams, combining a face, a voice, and a GTM brain with deep technical and product knowledge.
Superhumans can lead unlimited, simultaneous conversations 24/7, qualifying leads, booking meetings, delivering pitches, giving interactive demos, handling objections, uncovering pain points, building value models, providing support, and onboarding customers.
They integrate seamlessly into existing workflows, scale instantly, and drive measurable impact by growing revenue, reducing headcount, accelerating pipeline to closed-won, and creating a more delightful buyer experience.
The AI Systems Engineer will design and build the technical foundation powering 1mind's Superhumans, focusing on real-time, multimodal AI beings that communicate through audio, video, and language.
Responsibilities include designing and building real-time multimodal pipelines, developing observability layers, building infrastructure management tools, developing automated tests, integrating and optimizing the full system, and collaborating with product and AI teams.

Requirements:

Candidates must have experience in ML systems or applied AI, particularly in LLMs, ASR, or TTS pipelines.
A strong background in real-time or streaming systems and concurrent architectures is required.
Proven ability to productionize AI models, serving, scaling, and monitoring them in live environments is essential.
Proficiency in Python is necessary, along with experience deploying systems on Kubernetes or similar orchestration frameworks.
Familiarity with TypeScript for frontend or orchestration logic is preferred.
Candidates should be comfortable with automated testing, metrics, and observability as part of core development practice.
A genuine excitement about building multimodal AI systems that combine voice, video, and reasoning in real time is important.
Exposure to multimodal orchestration frameworks such as LangChain, Pipecat, or Daily is a plus.
Experience with latency optimization, streaming architectures, or real-time synchronization is also a plus.

The role offers the opportunity to build the systems behind multimodal Superhumans that are redefining how AI communicates and collaborates.
Employees will work at the intersection of AI research, infrastructure, and real-time human-AI interaction.
This position provides a high-ownership role with deep technical scope and meaningful product impact.
The team is global and fast-moving, focused on shipping production-grade AI experiences at scale.
The position is full-time, with a preferred location in San Francisco but open to remote work within the U.S.

Skills