- 0.7–1.1% equity — real ownership, not token options
- Direct influence over architecture and product direction
- The opportunity to build systems that outperform residency-trained medical staff
- A hybrid setup in Menlo Park — close to Stanford and the Bay Area AI ecosystem
- AI/LLM systems & agentic frameworks
- Voice agents & conversational AI
- TypeScript, React, Python
- Kubernetes & Redis
- Real-time systems & telephony infrastructure
- EHR integrations & healthcare data standards
- 2–4 years full-stack experience in a high-growth startup
- Hands-on experience with AI/LLM systems, voice agents, or conversational AI
- Comfort shipping quickly with minimal bureaucracy
- Hybrid availability in Menlo Park
- $160k–$180k base
- 0.7–1.1% equity
- Founding-level ownership in a 2025-founded company
- Direct exposure to Stanford-adjacent AI and healthcare networks
- The chance to build AI that materially changes how care is delivered
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Founding Engineer - Menlo Park - Synaxia Group
Description
Founding Engineer – AI Clinical Agents
Menlo Park (Hybrid) | $160k–$180k + 0.7–1.1% Equity
If you want to build AI that outperforms doctors at their most time-consuming tasks — this is your seat at the table.
What's in it for you?
You won't be joining as "Engineer #23."
You'll be Engineer #1–3 at a venture-backed healthcare AI company (7 people, $3.5M raised) — building AI clinical agents designed to handle the most costly tasks in care delivery, from intake to follow-up .
That means:
This isn't incremental SaaS optimisation.
This is rethinking end-to-end care delivery.
The problem you'll help solve
Healthcare systems are overwhelmed by administrative burden and inefficient workflows.
This company is building AI-powered clinical agents that manage costly workflows more effectively than traditional staff — improving care while reducing cost .
If you've been experimenting with LLMs, agent frameworks or voice systems and thinking:
"This could actually replace entire workflows…"
This is where you prove it.
What you'll actually own (and why it's exciting)
Build AI clinical agents from the ground up
Voice agents. Conversational AI. Agentic systems. Real deployment, not demos.
Ship full-stack, backend-leaning (70/30)
Frontend → backend → infrastructure → production. You own the whole flow.
Develop real-time voice & telephony systems
Low-latency, real-world systems where reliability matters.
Integrate with EHR systems & clinical workflows
HIPAA-aware architecture. Healthcare-grade engineering.
Operate in ambiguity
There won't always be detailed specs. You'll help define them.
If you need heavy structure and clearly written tickets before you start coding — this won't suit you.
If you thrive in fast iteration and high ownership — you'll love it.
You'll be working with:
Bonus points for early-stage startup experience (Seed–Series B, YC preferred) and health-tech exposure .
What you'll need
Visa sponsorship not available.
What you'll get
This is for engineers who want their first major equity win — not just another salary bump.
What next?
You don't need a polished CV.
If you've built something scrappy with LLMs, experimented with voice agents, or shipped in messy startup environments — let's talk.
Send what you have.
Or ask for an informal conversation first.
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