Biomedical AI Prototyper​/Developer

An All-In Role to Build the Intelligence Core of a Physics-First Health System

Location: Salt Lake City, Utah (preferred)

Reports to: Founder

Role Type: All-in, high-ownership builder role

Compensation: Competitive base + meaningful equity tied to contribution

Performance Standard: Exceptional or not retained

This is not a job for someone seeking stability, safety, or balance
.

This is an all-in role for someone who wants to be part of a small group of people who are first to build something that matters.

We are in a race
:

• To build the first true AI-driven operating system for human vitality and longevity
• To define the category before it exists
• To out-execute far larger organizations that are slower, more bureaucratic, and conceptually behind

Second place does not matter in this market.

Comfort does not produce breakthroughs.

Mediocrity is actively destructive.

If you are looking for:

• Job security
• Clear guardrails
• Incremental impact
• This role is not for you, and you should not apply.

We are building what modern medicine has failed to produce:

An intelligent, physics-first operating system for human health and longevity.

This system integrates:

• Ancient medical wisdom (TCM, energetic diagnostics)
• Functional and systems medicine
• Modern AI, signal processing, and multi-modal data
• Proprietary hardware (wearables and field-based therapeutic devices)
• Practitioner and consumer intelligence into a single closed loop

This is not theory.

This is not wellness branding.

This is a race to build the core intelligence layer first
.

Whoever defines this layer defines the future platform.

This role is for someone who:

• Wants maximum responsibility early
• Is willing to be judged on output, not effort
• Is comfortable with ambiguity, speed, and pressure
• Thinks in systems and first principles
• Goes unusually deep when most people stop
• Wants proximity to the founder and direct influence over core architecture
• Would rather fail trying to build something extraordinary than succeed doing something safe

This role is not for someone who:

• Wants clear boundaries between work and ambition
• Needs constant reassurance or direction
• Optimizes for job longevity over impact
• Is uncomfortable being held to a very high bar
• Wants to “learn slowly” without delivering value

You will work directly with the owner of the company to design and prototype the core intelligence that:

• Integrates multi-modal inputs:
  • Voice analysis
  • Pulse, Face and wearable data
• Produces system-level interpretations:
  • Load and depletion
  • Blockages and recovery capacity
• Drives real interventions
  , not just observations

This AI is not a dashboard.

It is the decision engine of the entire ecosystem.

Speed matters.

Your job is to:

• Test ideas in reality
• Advance what works into the core product ecosystem

You are expected to:

• Build working prototypes, not slideware
• Accept imperfect information and move anyway
• Hand proven concepts to the broader engineering team for scaling

This is a build-prove-scale loop, not a research lab.

You will help design AI that:

• Understands who it is interacting with (consumer vs practitioner vs system)
• Shares insight appropriately across boundaries
• Learns longitudinally, not just moment-to-moment
• Becomes more valuable the longer it exists

This is a B2B2C intelligence problem
, not a single-user app.

We are not competing on features.

We are competing on understanding
.

You will be expected to:

• Question shallow assumptions
• Build from first principles
• Blend intuition with mathematical reasoning
• Reject models that don’t map to reality, even if they are fashionable

Correctness beats polish.

Depth beats speed when speed is fake.

You should already be strong in several of the following and capable of rapidly mastering the rest:

• Strong coding and prototyping ability (Python or equivalent)
• Experience with:
  • LLM APIs and orchestration
  • Agent-based or multi-agent systems
• Ability to reason about:
  • Multi-modal and time-series data
  • Signals, patterns, and systems over time
• Willingness…