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- Tasks: Join a seed-stage AI startup to build transformative systems for the pharmaceutical industry.
- Company: Exciting AI startup with a focus on innovation and collaboration.
- Benefits: Competitive salary, equity options, and opportunities for international travel.
- Why this job: Shape the future of pharma with cutting-edge AI technology and make a real impact.
- Qualifications: Experience in AI, Python, and building data-intensive products.
- Other info: Be part of a dynamic founding team with excellent growth potential.
The predicted salary is between 100000 - 130000 £ per year.
You will join as a Founding Engineer in a seed-stage AI startup building systems that transform how the pharmaceutical industry processes critical information. You will help design and build the core platform that ingests global pharma data, applies AI reasoning, and turns raw information into actionable insight and automated workflows for enterprise customers. Working directly with the founders, you will shape the architecture, infrastructure, and engineering culture from day one while building a product designed to scale into a major enterprise platform.
What They’re Looking For
- The ideal candidate will have worked in an environment where they’ve been able to work experimentally with AI and build their own agents.
- LLM orchestration and prompt engineering, building and optimising AI-driven workflows in production.
- Vector databases and modern AI data pipelines, including embedding strategies and retrieval systems.
- Data ingestion pipelines including APIs, RSS feeds, and web scraping.
- Python development, TypeScript development.
- React frontend development.
- PostgreSQL database architecture.
- Cloud infrastructure and SaaS deployment.
- Observability, testing frameworks, and CI pipelines.
You will have proven experience shipping AI-enabled or data-intensive products such as SaaS platforms or production pipelines, alongside strong engineering fundamentals and the ability to quickly adopt and apply emerging AI technologies. You will also be comfortable working with AI coding tools such as Cursor, Copilot, Claude Code, or similar as part of your day-to-day development workflow.
Nice to Haves
- Healthcare or pharmaceutical data systems, working with complex and regulated datasets.
- Biotech or regulatory data experience.
- Multi-tenant SaaS architecture.
- Enterprise platform deployments.
- Data modelling and medallion-style data pipelines.
- Security architecture and authentication systems.
Why Join / Projects
You will help build AI systems that continuously monitor global pharmaceutical data sources including regulators, clinical trials, patents, and financial disclosures. The platform turns this information into actionable intelligence and automated workflows for enterprise customers. Instead of teams manually reading filings and reports, the system detects and explains what matters in real time. The founding team combines advanced AI research, pharmaceutical modelling expertise, and experience building data platforms used by major hedge funds. The company is already working closely with enterprise customers and is building a product designed to scale quickly. You will help define the engineering culture, architecture, and technical standards from the earliest stage while building a platform capable of scaling into a major enterprise product.
Employee Benefits
- £100,000 to £130,000 base salary.
- Meaningful founding engineer equity.
- Direct collaboration with founders on product and strategy.
- Travel to the United States to work with enterprise clients.
- Real ownership of product architecture and engineering culture.
- London office working alongside a highly ambitious founding team.
Locations
Artificial Intelligence Engineer in City of London, London employer: Prism Digital
Contact Detail:
Prism Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in City of London, London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI and pharma sectors. Attend meetups, webinars, or industry events to meet potential employers and showcase your passion for AI engineering.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your projects, especially those involving AI systems and Python development. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with AI-driven workflows and data pipelines, as well as any relevant tools you've used.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Artificial Intelligence Engineer in City of London, London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your work with AI, Python, and any relevant projects you've tackled in the pharma space. We want to see how you can contribute to our mission!
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 passion for AI and how your background aligns with our goals. Be genuine and let your personality shine through!
Showcase Your Projects: If you've worked on any AI-driven products or data pipelines, make sure to mention them! We love seeing real-world applications of your skills. Include links to your GitHub or any live projects if possible.
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 updates. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Prism Digital
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially in the context of the pharmaceutical industry. Be ready to discuss your experience with LLM orchestration, prompt engineering, and any AI-driven workflows you've built. This will show that you understand the role and can hit the ground running.
✨Showcase Your Python Skills
Since Python development is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your thought process while coding. Practising common algorithms and data structures in Python can give you an edge.
✨Talk About Your Projects
Be ready to discuss specific projects where you've shipped AI-enabled products or worked with complex datasets. Highlight your role, the challenges you faced, and how you overcame them. This will help the interviewers see your hands-on experience and problem-solving abilities.
✨Cultural Fit Matters
As a founding engineer, you'll help shape the engineering culture. Be prepared to discuss your thoughts on team dynamics, collaboration, and how you approach building a positive work environment. Showing that you align with their vision will make you a more attractive candidate.