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- Tasks: Build AI systems to automate complex analysis for pharma clients and ship impactful features weekly.
- Company: EF-backed pre-seed AI startup revolutionising the pharmaceutical industry.
- Benefits: Competitive salary, equity options, and a direct path to technical leadership.
- Other info: Dynamic London office with significant career growth opportunities.
- Why this job: Join at the ground floor and solve high-value problems with cutting-edge AI technology.
- Qualifications: Technical graduate with software engineering skills and experience in LLM applications.
The predicted salary is between 100000 - 150000 ÂŁ per year.
Salary: £100k–£150k + Equity
Company Description: EF-backed pre‑seed AI startup automating competitive intelligence for the global pharmaceutical market.
Job Description: As the first AI engineering hire, you will build production‑grade LLM orchestration and full‑stack systems to automate complex clinical and regulatory analysis for enterprise pharma clients. Working directly with Cambridge‑educated founders, you will bridge the gap between raw data and strategic insights, shipping impactful features weekly in a high‑intensity, privacy‑first environment.
Location: London, UK
Why this role is remarkable:
- Join an Entrepreneurs First (EF) portfolio company at the ground floor with significant founding equity and a direct path to technical leadership.
- Solve a massive, high‑value problem for the regulated life sciences industry by replacing manual, error‑prone human analysis with traceable, enterprise‑ready AI.
- Work in a high‑velocity London office where you ship to production‑level pharma clients on your first day, avoiding the bureaucracy of larger tech firms.
What You Will Do:
- Architect and own the core LLM orchestration layer and data pipelines to monitor clinical trials and regulatory filings in real‑time.
- Develop the full‑stack platform using Python and TypeScript/React, moving seamlessly from AI backend logic to intuitive frontend interfaces.
- Collaborate directly with the CTO to make foundational architectural decisions that will define the company’s technical trajectory and scalability.
The ideal candidate:
- A technical graduate from a top UK Russell Group university with 0‑4 years of experience and a strong software engineering foundation.
- Proven experience building and shipping LLM‑powered applications beyond basic experimentation.
Founding AI Engineer ( + Equity) at EF-backed pharmaceutical AI startup employer: Jack & Jill
Contact Detail:
Jack & Jill Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding AI Engineer ( + Equity) at EF-backed pharmaceutical AI startup
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to the startup scene. Attend meetups or tech events in London where you can chat with founders and other engineers – it’s all about making those connections!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially any LLM-powered applications you've built. This is your chance to demonstrate your technical chops and how you can contribute to the team right from day one.
✨Tip Number 3
Prepare for the interview by understanding the company’s mission and the challenges they face in the pharmaceutical sector. Be ready to discuss how your experience aligns with their goals and how you can help automate their processes.
✨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, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Founding AI Engineer ( + Equity) at EF-backed pharmaceutical AI startup
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and its potential in the pharmaceutical industry shine through. We want to see how your interests align with our mission to automate competitive intelligence.
Tailor Your CV: Make sure your CV is tailored to highlight relevant experience in AI engineering and software development. We’re looking for specific examples of projects or roles where you’ve built LLM-powered applications, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your journey, your skills, and how you envision contributing to our startup. Keep it concise but impactful!
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 this exciting opportunity at our EF-backed startup!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and TypeScript/React. Brush up on your knowledge of LLM orchestration and be ready to discuss any relevant projects you've worked on that showcase your skills.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you tackled them. This is particularly important for a role that involves automating complex clinical and regulatory analysis. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Understand the Industry
Familiarise yourself with the pharmaceutical industry and the importance of competitive intelligence. Being able to speak knowledgeably about current trends and challenges in the sector will demonstrate your genuine interest and help you stand out.
✨Be Ready to Collaborate
Since you'll be working closely with the CTO and other team members, prepare to discuss your collaborative experiences. Highlight instances where you’ve successfully worked in a team to achieve a common goal, especially in high-pressure environments.