Full Stack Engineer (+ Equity) at G LNK

Job Title

Full Stack Engineer

Salary

Not Disclosed + Equity

Company Description

G LNK (YC W25) is an AI-powered healthcare commercial intelligence platform backed by Y Combinator, Dell Technologies Capital, and Ten Eleven Ventures, currently experiencing 250% month-over-month growth.

Job Description

Join G LNK as a Full Stack Engineer to build AI-driven matchmaking systems connecting pharma companies with medical experts. You'll architect features across React, TypeScript, and Python, managing a database of 9M+ clinician profiles and billions of records. Help automate complex healthcare commercialization workflows while shipping code that impacts global drug development.

Location

London, UK

Why this role is remarkable

• Work at the intersection of AI and healthcare, leveraging LLMs, vector search, and semantic retrieval to transform how medical experts are identified for clinical trials.
• Join a high-growth YC W25 startup backed by top-tier investors like Dell Technologies Capital and Ten Eleven Ventures during a period of massive 250% MoM traction.
• Gain significant technical ownership by working directly with the founders to shape the architecture and product direction of a platform handling billions of healthcare data records.

What You Will Do

• Build and maintain responsive frontends using React and TypeScript while developing robust backend services in Python or Node.js to support complex workflows.
• Design and optimize scalable data pipelines and analytics engines capable of processing over 9M clinician profiles and extensive global payment datasets.
• Collaborate directly with the CTO and CEO to translate product requirements into high-performance technical solutions, owning features from initial concept through to production.

The ideal candidate

• Strong full-stack engineering background with professional experience in React/TypeScript on the frontend and either Python or Node.js on the backend.
• Proven experience building data pipelines or performing advanced analytics on large-scale datasets involving millions of profiles or billions of individual records.
• A high-ownership startup mentality with the ability to navigate ambiguity, ship code independently, and thrive in a fast-paced, onsite London environment.