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- Tasks: Build and scale AI systems and data pipelines from scratch.
- Company: Exciting early-stage startup with a high-ambition vision.
- Benefits: Competitive salary of £140,000 plus equity and hands-on experience.
- Other info: Dynamic role in London with opportunities for rapid growth and innovation.
- Why this job: Shape the future of tech in pharma while working closely with founders.
- Qualifications: Proven track record in building products and strong engineering fundamentals.
The predicted salary is between 140000 - 140000 £ per year.
We’re partnering with an early-stage, high-ambition startup to hire Founding Engineers who will help shape the entire technical foundation of the business. This is a hands-on, in-person role in London, working directly with the founders to build and scale a production system from first principles.
They’re hiring across multiple strengths - you don’t need to cover everything, but you should bring deep expertise in at least one core area:
- AI Engineering: LLM orchestration, prompting, and workflows; Evaluation systems and feedback loops; Reliable deployment of AI systems in production.
- Data Engineering: Data ingestion from heterogeneous sources; Data modelling, transformation, and pipelines; PostgreSQL, vector databases, medallion architectures.
- Enterprise Infrastructure: Multi-tenant SaaS systems; Cloud infrastructure and deployment; Security, authentication, and system reliability.
The role:
- Build and deploy AI systems using LLMs (prompting, orchestration, evaluation).
- Design and scale data pipelines across diverse sources (APIs, scraping, structured data).
- Develop core SaaS infrastructure, including multi-tenant architecture.
- Take ownership of system design across AI, data, and backend layers.
- Build for scale from day one while maintaining rapid iteration speed.
- Work closely with founders on product direction and technical strategy.
What they’re looking for:
- Proven track record of building and shipping real products (SaaS, pipelines, or strong side projects).
- Strong engineering fundamentals across systems, backend, or full-stack.
- Ability to quickly learn and adapt across technologies (TypeScript, Python, PostgreSQL).
- Experience using AI coding tools to significantly increase output.
- Strong problem-solving mindset - comfortable owning problems end-to-end.
- Bonus: exposure to healthcare, biotech, or regulated data environments.
Founding Engineer in Pharma / £140,000 + Equity in London employer: Few&Far
Contact Detail:
Few&Far Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Engineer in Pharma / £140,000 + Equity in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with founders. You never know who might have the inside scoop on job openings or be looking for someone just like you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI, data engineering, or SaaS. This is your chance to demonstrate what you've built and how it can add value to a startup.
✨Tip Number 3
Be proactive! Don’t just wait for job postings. Reach out directly to startups that excite you. Express your interest and share how your expertise aligns with their vision. We love seeing passion and initiative!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for talented individuals who can help shape the future of tech in pharma.
We think you need these skills to ace Founding Engineer in Pharma / £140,000 + Equity in London
Some tips for your application 🫡
Showcase Your Achievements: When applying, focus on what you've built and achieved rather than just your years of experience. Highlight specific projects or products that demonstrate your expertise in areas like AI engineering or data pipelines.
Tailor Your Application: Make sure to customise your application for the role. Use keywords from the job description to show that you understand what we're looking for and how your skills align with our needs.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and make it easy for us to see your strengths and how they fit into our vision.
Apply Through Our Website: We encourage you to apply directly through our website. This helps us keep track of applications and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Few&Far
✨Showcase Your Projects
Make sure to bring examples of what you've built and achieved. Whether it's a SaaS product, data pipeline, or a side project, be ready to discuss the challenges you faced and how you overcame them. This is your chance to demonstrate your hands-on experience and problem-solving skills.
✨Understand Their Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like TypeScript, Python, and PostgreSQL. Be prepared to discuss how your expertise aligns with their needs, especially in areas like AI engineering or data engineering. Showing that you can hit the ground running will impress the founders.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's vision, technical challenges, and product direction. This not only shows your genuine interest but also helps you gauge if the startup's goals align with your own. It’s a two-way street, and you want to ensure it’s the right fit for both parties.
✨Demonstrate Adaptability
Highlight your ability to learn quickly and adapt across different technologies. Startups often require flexibility, so share examples of how you've successfully navigated new tools or frameworks in the past. This will reassure them that you can thrive in a fast-paced environment.