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- Tasks: Build and ship AI pipelines that revolutionise clinical documentation.
- Company: Exciting Seed-Stage HealthTech startup transforming drug approval processes.
- Benefits: Competitive salary, equity options, fully remote work, and visa sponsorship available.
- Other info: Be part of a dynamic environment with significant growth opportunities.
- Why this job: Join a pioneering team and make a real impact in healthcare innovation.
- Qualifications: Experience with RAG systems and LLM pipelines; startup experience preferred.
The predicted salary is between 80000 - 140000 £ per year.
We're partnered with a startup that's transforming how drugs get approved and reach patients. They've built an AI platform that replaces one of pharma's most expensive and time-consuming manual processes, clinical trial validation, and have just proved the concept with a major global pharmaceutical company, cutting internal timelines by over a year. They're close to closing a Series A, scaling off the back of multi-million pound contracts, and this is hire number one of several.
They need a hands-on Senior AI Engineer to work directly alongside the CTO, owning the architecture and delivery of RAG systems, agentic LLM workflows, and core AI infrastructure from day one. A building role, the vast majority of your time will be spent writing code and shipping features, not managing or researching.
What you'll work on:
- Building and shipping RAG pipelines that power AI co-pilots for clinical documentation
- Designing and iterating on agentic LLM workflows grounded in a graph-based data engine
- Setting up eval pipelines to track and continuously improve output quality
- Working directly with the founding team to translate customer feedback into shipped features
What they're looking for:
- Proven production experience with RAG systems and agentic LLM pipelines
- Startup background, you've worked in a fast-moving 0-to-1 environment and thrived
- Strong software engineering fundamentals, reliability over prototypes
- Founding engineer mindset: ownership, speed, bias towards action
- Regulated industry experience is a plus, not a requirement
Compensation and logistics:
- £80,000 to £140,000 depending on experience
- Fully remote, London candidates preferred
- Visa sponsorship available
- Equity included
Interested or know someone who might be? Drop a comment or send a direct message.
Artificial Intelligence Engineer in Aberdeen employer: HartleyCo
Contact Detail:
HartleyCo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in Aberdeen
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work at startups or in health tech. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to RAG systems and LLM workflows. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills and understanding the company’s mission. Be ready to discuss how your experience aligns with their goals, especially in transforming clinical trial processes.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to make a difference in health tech.
We think you need these skills to ace Artificial Intelligence Engineer in Aberdeen
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior AI Engineer. Highlight your experience with RAG systems and agentic LLM pipelines, as well as any relevant projects that showcase your skills in a fast-paced environment.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this startup and how your background aligns with their mission. Don’t forget to mention your hands-on coding experience and your ability to work closely with teams.
Showcase Your Projects: If you’ve worked on any relevant projects, make sure to include them in your application. Whether it's a GitHub repo or a personal project, showing off your coding skills and problem-solving abilities can really set you apart from other candidates.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at HartleyCo
✨Know Your RAG Systems
Make sure you brush up on your knowledge of Retrieval-Augmented Generation (RAG) systems. Be ready to discuss your hands-on experience with them, as well as any challenges you've faced and how you overcame them. This will show that you’re not just familiar with the theory but have practical insights to offer.
✨Showcase Your Startup Experience
Since this role is in a fast-paced startup environment, be prepared to share specific examples from your previous roles where you thrived in similar settings. Highlight instances where you took ownership of projects and delivered results quickly, as this will resonate with their need for a founding engineer mindset.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your software engineering fundamentals. Brush up on coding principles and be ready to solve problems on the spot. Practising coding challenges related to AI workflows can give you an edge and demonstrate your reliability over prototypes.
✨Understand Their Mission
Familiarise yourself with the startup's mission to transform drug approval processes. Being able to articulate how your skills align with their goals will show your genuine interest in the role and the impact you could make. It’s all about connecting your expertise to their vision!