Founding AI Engineer | VC Backed HealthTech StartUp

Oho Group Ltd; Sheffield; Hybrid; GBP 80,000 - 100,000; Full time

Job summary

An early-stage startup in health technology is searching for a Founding AI Engineer. In this hybrid/remote position, you will be pivotal in designing and building the AI and data systems from the ground up. You’ll create a recommendation engine utilizing user data and lead the technical decisions that shape the platform. Ideal candidates should be proficient in TypeScript and React, with a passion for health tech and strong communication skills. This role offers competitive salary and equity options.

Benefits

Competitive salary

Equity options

Opportunity for growth into CTO

Qualifications

• Experience in building AI systems or similar projects.
• Comfortable working across different layers of a tech stack.
• Interest in preventative health technology.

Responsibilities

• Design and build the AI and data systems for the platform.
• Develop the recommendation engine from user and biomarker data.
• Establish frameworks for testing and evaluation.

Skills

Zero-to-one engineering

Strong communication

Fast learning

Frontend/backend development

AI systems understanding

Tools

TypeScript

React

Node.js

Supabase

Job description

Founding AI Engineer – Hybrid / Remote (UK / EU ideal, US considered)

Competitive salary + meaningful equity & Potential opportunity for growth into CTO!

I’m working with an early‑stage startup in the preventative health space that’s looking for its first dedicated AI engineer. This is a rare chance to join as a founding technical hire and shape the core intelligence behind a product designed to improve long‑term health outcomes.

The Role

You’ll lead the design and build of the platform’s AI and data systems — from risk modelling to personalised recommendations — while also contributing across the app and backend. Expect a mix of hands‑on engineering, rapid prototyping, and influencing early technical decisions.

What You’ll Be Doing

• Building the engine that turns user and biomarker data into meaningful insights.
• Working across the stack to improve the product experience (TypeScript / React‑focused environment).
• Setting up evaluation frameworks, testing, and compliance‑ready workflows.
• Establishing early AI standards and best practices.
• Helping shape the future team as the company scales.

Who Will Succeed Here

• Engineers who enjoy zero‑to‑one work and owning large pieces of the architecture.
• People who are curious, fast‑learning, and enjoy shipping quickly.
• Comfortable moving between backend, AI models, and UI details.
• Strong communication across technical and non‑technical domains.

Tech Environment

TypeScript, React, Node.js, Supabase

LLMs, agents, evaluation systems, modern AI tooling

What Success Looks Like

• Delivering the first version of the recommendation engine in the early months.
• Shipping improvements across frontend and backend rapidly.
• Introducing reproducible, evaluation‑ready workflows for future AI development.
• Becoming a key influence on engineering culture and technical direction.

If you’re excited about building meaningful AI systems from the ground up, I’d be keen to chat and share more.