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Founding AI Engineer at https:/www.usema.ai

Roles & Responsibilities

  • 6–12+ years of experience in applied ML or AI systems with a track record shipping production-grade products used by millions
  • Mastery of Python and experience with PyTorch or JAX; strong experience with advanced LLM integration and building complex agentic pipelines and multimodal data systems
  • Systems-thinking mindset with the ability to architect novel, ambiguous systems from scratch rather than tuning incremental features
  • Experience designing and shipping end-to-end AI infrastructure, including real-time inference pipelines, RAG architectures, and scalable microservices on AWS/GCP

Requirements:

  • Design and implement the semantic data substrate unifying wearables, conversations, and environmental context into a persistent graph/RAG architecture
  • Build the narrative engine and orchestration layer to manage low-latency conversational loops and proactive agent-style planning and scheduling
  • Establish the infrastructure foundation, including model runtimes, evaluation tooling, and scalable microservices on AWS/GCP to support real-time sensor fusion
  • Collaborate with hardware and software teams to ensure cohesive, end-to-end integration across interfaces

Job description

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
She will pick the best candidates from Jack's network

The next step is to speak to Jack.

Job Title: Founding AI Engineer at https:/www.usema.ai

Company Description: https:/www.usema.ai - Embodied AI startup building a new class of living intelligence systems.

Job Description:
You will architect and own the core Living Intelligence substrate for mā, a system unifying multimodal data into real-time semantic states. This is a founding role for a senior systems-level builder to design the narrative engines and orchestration layers that drive proactive guidance across hardware and software interfaces.

Location: San Francisco, USA

Why this role is remarkable:

  • Rare opportunity to build the foundational AI substrate for a new category of embodied intelligence, working directly with the founder with zero legacy constraints.

  • Unique product scope spanning hardware (ōrb), a generative marketplace, and a persistent living record of user biological and behavioral data.

  • Deep ownership of the entire stack, from real-time inference pipelines and RAG architecture to the dynamic narrative engine and agent-style workflows.

What you will do:

  • Design and implement the semantic data substrate, unifying wearables, conversations, and environmental context into a persistent graph/RAG architecture.

  • Build the narrative engine and orchestration layer to manage low-latency conversational loops and proactive agent-style planning and scheduling.

  • Establish the infrastructure foundation, including model runtimes, evaluation tooling, and scalable microservices on AWS/GCP to support real-time sensor fusion.

The ideal candidate:

  • Has 6–12+ years of experience in applied ML or AI systems, with a proven track record of shipping production-grade products used by millions.

  • Mastery of Python, PyTorch/JAX, and advanced LLM integration, specifically building complex agentic pipelines and multimodal data systems.

  • Possesses a systems-thinker mindset with the agency to architect novel, ambiguous systems from scratch rather than tuning incremental features.

Who are Jack & Jill?
Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.

Next steps
Step 1. Visit our website.
Step 2. Click 'Talk to Jack'.
Step 3. Talk to Jack so he can understand your experience and ambitions.
Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.
Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
Step 6. If not, Jack will find you excellent alternatives. All for free.

We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

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