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odiggo

Head of Artificial Intelligence

odiggo, Mountain View, California, us, 94039

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About Us At Sully.ai, we're not just building AI – we're redefining the future of how healthcare is delivered. Our end to end solutions empower healthcare providers by automating doctors’ administrative tasks, reducing misdiagnosis, and enhancing efficiency. The Role

As our

Head of AI

, you will lead the

AI strategy, architecture, and development

at Sully.ai, ensuring we deliver

scalable, real-time AI solutions for healthcare workflows . You’ll work hands-on with

LLMs, AI automation, and cloud infrastructure

, setting the foundation for a rapidly growing product. What You’ll Do

Own AI end-to-end

– from

research to production

, ensuring a robust, scalable AI pipeline. Architect and optimize LLM integrations

, ensuring efficiency and cost-effectiveness. Lead AI-driven automation efforts

for

EHR workflows, voice assistants, and decision support. Scale AI infrastructure

, working closely with

DupliCloud (DevOps/SecOps CI/CD) and cloud partners . Experiment with and fine-tune LLMs

(Together.ai, OpenAI fine-tuning, LLaMA). Ensure AI and ML scalability

, addressing our current

platform bottlenecks . Hire and mentor AI engineers

as we scale. Work closely with leadership

to align AI capabilities with

business strategy and revenue growth . Who You Are

This is a

high-ownership, independent leadership role

that requires a

deep technical background

and a

bias for action . We’re looking for someone who: Must-Have Experience

Startup Experience

– You’ve been a

Founder, Co-Founder, CTO, or an early technical hire (sub-10 person team, ideally sub-20) . End-to-End AI System Building

– You’ve

designed, built, and deployed AI-powered products

from scratch. LLM Expertise

– You’ve worked hands-on with

LLMs, fine-tuning, and AI/ML APIs (OpenAI, Together.ai, LLaMA, etc.) . Strong Backend & Cloud Infrastructure Skills

– Proficient in

Node.js, Python, Firestore DB, Google Cloud, and cloud-scale architectures . EHR/Healthcare AI Knowledge (Preferred, Not Required)

– Experience integrating with

EHR systems (Epic, Cerner, Athenahealth, etc.)

is a big plus. Scalability & Performance Optimization

– You’ve built AI platforms that scale efficiently. Bonus Points If You...

Have

side projects or personal AI/ML experiments

that showcase your initiative. Have experience setting up

AI-driven paywalls, payment gateways, or revenue models . Are comfortable working in a

high-growth, ambiguous startup environment

where you wear multiple hats. Tech Stack & Tools You’ll Work With

Database

: Firestore (Firebase) Backend

: Node.js (server-side), Python (EHR integrations) Cloud Storage

: Google Cloud (for voice/audio data) AI/LLMs

: OpenAI fine-tuning, Together.ai, LLaMA, Henry’s custom AI models DevOps/SecOps

: DupliCloud (CI/CD) Automation

: UI Automation for EHR systems Why Join Sully.ai?

Build category-defining AI in healthcare

—work on

real-world AI automation for doctors . Join early & shape the AI roadmap

—as an early hire, you’ll have

massive ownership . Remote-first with strong engineering culture

—work with

brilliant technologists

solving

complex problems . Competitive salary & equity

—build

AI that matters, and own a part of it . Scalability challenges worth solving

—land a

big deal

,

hire a team

, and build something that lasts. Sully.ai is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age. Sully.ai prohibits any form of workplace harassment.

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