At a Glance
- Tasks: Architect and build AI-powered systems for healthcare data analysis.
- Company: Join G LNK, a pioneering tech company transforming healthcare with AI.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Collaborate closely with a dynamic team and founder in a fast-paced environment.
- Why this job: Make a real impact in healthcare by developing cutting-edge AI solutions.
- Qualifications: 6+ years in software engineering with strong AI/LLM system experience.
G LNK is building the world’s largest searchable clinician database and the AI-native commercial intelligence platform on top of it. We unify:
- 9.2M+ HCP profiles
- 68K+ hospitals & health systems
- $11B+ tracked payments
- 3B+ prescription claims
- 5B+ procedure claims
— into a single platform used by pharma, biotech, and medtech teams to search, analyze, segment, and act on healthcare data. 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.
What You’ll Work On
- AI-powered search and semantic retrieval
- Agentic workflows and intelligent tooling
- Natural-language interfaces over massive healthcare datasets
- LLM systems, evaluation pipelines, and ranking infrastructure
- MongoDB architectures across billions of records
- Streaming AI experiences in React
- Embeddings, vector search, and analytics systems
You’ll work directly with the founder on architecture, product direction, and core technical decisions. 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.
What We’re Looking For
- 6+ years of software engineering experience
- Strong experience building production AI / LLM systems
- JavaScript / TypeScript expertise
- Comfortable across React, Node.js, and MongoDB
- Strong understanding of:
- Retrieval systems
- Prompt engineering
- Agent architecture
- Evaluation frameworks
- AI system design
- Ability to move quickly, think independently, and build scalable systems from ambiguous problems
- Experience working with large, messy datasets and turning them into reliable product experiences
- Strong written and spoken English communication skills are essential — this role involves frequent live collaboration with the team and clear communication is extremely important
Nice to Have
- 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
- Familiarity with HIPAA, SOC 2, or enterprise security standards
- Startup or founding engineer experience
Important
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. We care deeply about:
- Speed
- Product quality
- Ownership
- Engineering standards
- Shipping real systems that customers use every day
If that sounds like your environment, we’d like to speak with you.
Senior Software Engineer employer: G LNK (YC W25)
G LNK is an exceptional employer for Senior Software Engineers, offering a dynamic remote work environment that prioritises collaboration and innovation. With a strong focus on AI-driven solutions in healthcare, employees benefit from a culture of ownership and technical excellence, alongside opportunities for professional growth while working directly with the founder on impactful projects. The company values speed, product quality, and engineering standards, making it an ideal place for those looking to make a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work in AI or healthcare. A personal introduction can make all the difference when you're trying to land that Senior Software Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI systems or large datasets. This is your chance to demonstrate your expertise in JavaScript, TypeScript, and MongoDB — make it shine!
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to discuss your experience with AI-powered systems and retrieval frameworks. We want to see how you tackle real-world engineering problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about joining our fast-moving team at G LNK.
We think you need these skills to ace Senior Software Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior AI Software Engineer. Highlight your experience with AI systems, JavaScript, TypeScript, and any relevant projects that showcase your skills in building scalable systems.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background aligns with our mission at G LNK. Don’t forget to mention any experience you have with healthcare data or large datasets.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex engineering problems in the past. We love candidates who can think independently and come up with innovative solutions, so don’t hold back!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at G LNK (YC W25)
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially LLMs and retrieval systems. Be ready to discuss your past experiences building production AI systems and how you've tackled complex engineering problems.
✨Showcase Your Coding Skills
Prepare to demonstrate your JavaScript and TypeScript expertise. You might be asked to solve coding challenges or discuss your approach to building scalable systems, so practice coding on platforms like LeetCode or HackerRank.
✨Communicate Clearly
Since this role involves a lot of collaboration, focus on your communication skills. Practice explaining your thought process clearly and concisely, especially when discussing technical concepts or past projects.
✨Understand the Healthcare Landscape
Familiarise yourself with healthcare data and the specific challenges it presents. If you have experience with claims, EHRs, or other relevant datasets, be prepared to share how you've worked with them in the past.
