Jack & Jill
Full Stack Engineer (+ Equity) at G LNK
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This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
She will pick the best candidates from Jack's network.
The next step is to speak to Jack.
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.
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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.
Who are Jack & Jill?
Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
How does this work?
Jack's an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
We never post fake jobs
This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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