AI Founding Engineer at Juno
Salary$130k – $200k
LocationSan Francisco, CA, US
Work modeon-site
Typefull-time
SenioritySenior
Experience3+ yrs
EquityIncluded
Company size51–200 people
First seenOct 12, 2026 · 1d ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Built and shipped production AI systems, ideally involving LLMs, RAG, or agents
Comfortable across the stack: backend services, data pipelines, and model integration
Strong Python skills and experience with modern AI/ML frameworks
Know how to evaluate, test, and harden LLM-based systems for reliability
Care about precision and safety, especially when the product touches people's health
Can move fast and take ownership without needing much process
Experience in healthtech or with regulated/sensitive data
Startup or founding engineer experience
Open-source contributions to AI or ML tooling
Can relocate to San Francisco (we can sponsor a visa)
Skills
Python
Machine Learning
LLMs
RAG
Juno · P26
AI Founding Engineer at Juno
About the company
AI Health Assistant for Chronic Illness
LocationSan Francisco, CA, US
TypeFull-time
Salary$130K - $200K
Equity0.50% - 1.00%
Requirements
Experience3+ years
VisaWill sponsor
PythonMachine LearningLLMs
Apply to this role
About the role
About Juno
Juno is an AI health assistant built for the 1B+ people managing chronic illness.
We turn patient conversations, biometrics, and medical history into a longitudinal health profile, then use it to surface patterns and deliver personalized guidance.
More than 150,000 people already use Juno. Our goal is to make Juno the clinical specialist that lives in your pocket.
About the role
We’re hiring our first AI founding engineer.
You’ll work directly with the founders to design and build the AI systems at the core of Juno: conversation intelligence, health reasoning, retrieval, and the infrastructure that keeps it fast and reliable.
What you’ll work on
•
Design and ship the LLM pipelines that power Juno’s conversations and health reasoning
•
Build retrieval and memory systems that turn patient history into personalized guidance
•
Own model evaluation, prompt quality, and safety guardrails for a clinical-grade product
•
Build data pipelines that extract structured signals from conversations, biometrics, and records
•
Work closely with the founders to turn ambiguous product ideas into working AI systems
•
Use AI-native tools to prototype and ship faster than most teams think possible
What we’re looking for
•
You’ve built and shipped production AI systems, ideally involving LLMs, RAG, or agents
•
You’re comfortable across the stack: backend services, data pipelines, and model integration
•
You have strong Python skills and experience with modern AI/ML frameworks
•
You know how to evaluate, test, and harden LLM-based systems for reliability
•
You care about precision and safety, especially when the product touches people’s health
•
You can move fast and take ownership without needing much process
•
You can relocate to San Francisco (we can sponsor a visa)
Nice to have (but not required)
•
Experience in healthtech or with regulated/sensitive data
•
Startup or founding engineer experience
•
Open-source contributions to AI or ML tooling
How to apply
Send us a short note with:
•
Why Juno feels interesting to you
•
An AI project or system you’ve built and are proud of
•
Your GitHub, portfolio, or a demo
About the interview
•
Prescreen: 30 min call with a founder
•
Work trial: we’ll fly you out for a 3-day work trial with the team
Apply to this role
The interview process
Our process
We move fast and keep this simple, usually completing all steps within about a week.
•
Prescreen (30 min): A casual call with a founder to talk through your background, what you’ve built, and what you’re looking for next.
•
Technical deep dive (60-90 min): We’ll dig into a past project or system you’ve built, focusing on real decisions you made around LLMs, retrieval, evaluation, or production reliability.
•
Work trial (3 days): We’ll fly you out to San Francisco to work side by side with the founding team on a real problem from our roadmap. You’ll be paid for your time.
•
Offer: If it’s a mutual fit, we’ll move quickly with an offer and can usually answer any questions within a day or two.
We know interviewing takes real time and energy, so we try to be transparent and fast at every step.
Other roles at Juno
[### Founding Mobile Engineer at Juno
Full-time · San Francisco, CA, US · $130 - $200K](https://www.workatastartup.com/jobs/98425)[### Growth & Operations Intern
Internship · San Francisco, CA, US / London, England, GB / Remote (US) · $2K - $3K / monthly](https://www.workatastartup.com/jobs/113633)[### Social Media Manager
Full-time · San Francisco, CA, US · $60K - $110K](https://www.workatastartup.com/jobs/114035)[### Social Media & Content Intern
Internship · London, England, GB / San Francisco, CA, US / Remote (US) · $2K - $3K / monthly](https://www.workatastartup.com/jobs/113667)
Similar roles
[Sown To Grow
Data Scientist (ML / NLP / LLMs)
Full-time · Menlo Park, CA, US / Oakland, CA, US · $120K - $135K](https://www.workatastartup.com/jobs/113104)[Elayne
Estate settlement, from verified discovery to distribution
Senior Applied AI Engineer
Full-time · New York, NY, US · $250K - $300K](https://www.workatastartup.com/jobs/109284)[Moss
Real-time semantic search for Conversational AI
Machine Learning Engineer
Full-time · San Francisco, CA, US / Remote · $60K - $300K](https://www.workatastartup.com/jobs/107565)