At a Glance
- Tasks: Architect and build core AI systems for a revolutionary healthcare platform.
- Company: Join G LNK, a leader in AI-driven healthcare solutions.
- Benefits: Enjoy competitive salary, remote work, and opportunities for professional growth.
- Other info: Collaborate with a dynamic team in a fast-paced, innovative environment.
- Why this job: Make a real impact by solving complex engineering challenges in healthcare.
- Qualifications: 6+ years in software engineering with strong AI and JavaScript/TypeScript skills.
The predicted salary is between 60000 - 80000 € per year.
G LNK is building the world’s largest searchable clinician database and the AI-native commercial intelligence platform on top of it.
- 68K+ hospitals & health systems
- $3B+ prescription claims
- 5B+ procedure claims
This is not “AI as a feature.” AI is the product layer itself. We are a small, highly technical, fast-moving team building infrastructure and intelligence systems around some of the most valuable healthcare datasets in the world.
We’re hiring a Senior AI Software Engineer to help architect and build the core systems behind the platform.
- AI-powered search and semantic retrieval
- Natural-language interfaces over massive healthcare datasets
- MongoDB architectures across billions of records
- Streaming AI experiences in React
This is a high-ownership role for someone who likes solving hard engineering problems and building real production AI systems — not just stitching APIs together.
- 6+ years of software engineering experience
- Strong experience building production AI / LLM systems
- JavaScript / TypeScript expertise
- Comfortable across React, Node.js, and MongoDB
- AI system design
- Strong written and spoken English communication skills are essential — this role involves frequent live collaboration with the team and clear communication is extremely important
Healthcare data experience (claims, HCP, NPI, EHR, Open Payments, etc.)
- Experience with RAG systems and vector databases at scale
- Background building agentic systems or tool-using AI workflows
This is a remote role, but candidates must work UK business hours and be comfortable collaborating closely with the team on Zoom throughout the week.
Product quality: Shipping real systems that customers use every day.
Senior Software Engineer - C# - (Hybrid Remote) employer: G LNK (YC W25)
At G LNK, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our hybrid remote model allows for flexibility while working with a highly skilled team dedicated to building cutting-edge AI solutions in healthcare. We offer ample opportunities for professional growth, competitive benefits, and the chance to make a significant impact in the industry by transforming how healthcare data is utilised.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer - C# - (Hybrid Remote)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at G LNK or similar companies. A friendly chat can sometimes lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects that highlight your experience in AI systems, make sure to share it during interviews. It’s a great way to demonstrate your expertise beyond just words.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and system design principles. Practice common algorithms and data structures, and be ready to discuss how you’ve tackled complex engineering problems in the past.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at G LNK.
We think you need these skills to ace Senior Software Engineer - C# - (Hybrid Remote)
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and how it drives you. Share specific examples of projects you've worked on that showcase your experience with AI systems, especially in healthcare data.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to highlight the skills and experiences that align with our job description. We want to see how your background in C#, JavaScript, and AI system design makes you a perfect fit for our team.
Be Clear and Concise:We appreciate clear communication, so keep your application straightforward. Use bullet points where possible and avoid jargon unless it's relevant. This will help us quickly understand your qualifications and experience.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it helps us keep everything organised!
How to prepare for a job interview at G LNK (YC W25)
✨Know Your Tech Inside Out
Make sure you’re well-versed in C#, JavaScript, TypeScript, and the frameworks mentioned in the job description. Brush up on your knowledge of AI systems, MongoDB, and React. Be ready to discuss specific projects where you've used these technologies and how they relate to building production AI systems.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenging engineering problems you've faced and how you solved them. This role is all about high ownership and tackling tough issues, so share examples that highlight your critical thinking and innovative solutions in AI system design.
✨Communicate Clearly and Confidently
Since this position involves frequent collaboration, practice articulating your thoughts clearly. Use examples from your past experiences to demonstrate your communication skills, especially in a remote setting. Remember, clear communication is key when working with a fast-moving team.
✨Understand the Healthcare Landscape
Familiarise yourself with healthcare data concepts like claims, EHR, and the specifics of the datasets mentioned. Showing that you understand the context in which the technology operates will set you apart and demonstrate your genuine interest in the role.
