At a Glance
- Tasks: Join a fast-growing startup to develop AI solutions for healthcare.
- Company: Innovative startup transforming care with AI, backed by $20M funding.
- Benefits: £100k salary, £20k equity, hybrid work, and 25 days holiday.
- Other info: Fast-paced environment with opportunities for growth and innovation.
- Why this job: Shape the future of AI in healthcare and make a real impact.
- Qualifications: 5+ years in software engineering, 2+ years with LLMs, strong backend skills.
The predicted salary is between 100000 - 100000 £ per year.
I'm partnering with a fast-growing, heavily funded startup that's redefining how care providers operate through AI. Backed by $20M in Series A funding and scaling quickly, they're building an AI-powered platform used across healthcare environments to replace fragmented systems and manual processes.
This is a unique opportunity to join early, working directly with the Head of AI to take ownership of engineering and help shape the future of the AI function.
What you'll be working on
- A day-to-day operating hub that helps professionals make better, faster decisions
- A research-focused platform, leveraging labs, imaging, and structured/unstructured medical data to drive insights
Example challenges include:
- Building AI agents to handle calls and schedule appointments
- Creating systems to generate and structure clinical notes from free text
- Using LLMs to reliably extract and standardise complex data
- Contributing to AI-powered features integrated directly into core workflows
What they're looking for
- This is an engineering-led AI role, not ML research
- ~5+ years in software engineering
- 2+ years hands-on with LLMs / applied AI
- Experience building 0-1 products in startup environments
- Strong backend focus (Python + TypeScript)
- Experience with frameworks like LangChain
- Comfortable owning systems end-to-end (design, build, deploy)
Bonus if you've touched frontend or worked closely with product teams.
Package & benefits
- £100k + £20k equity
- Hybrid: 4 days/week in Paddington
- 25 days holiday + private healthcare
- Equity for all employees + strong benefits package
- Flexible remote working (2-3 weeks/year from anywhere)
Process (fast & focused)
- AI knowledge discussion
- Coding interview
- AI design challenge (real problem)
- Final with CTO
*Rates depend on experience and client requirements
AI Engineer employer: Salt
Join a dynamic and innovative startup in Paddington, London, where you'll have the opportunity to shape the future of AI in healthcare. With a strong focus on employee growth, a collaborative work culture, and a competitive benefits package including equity and flexible working arrangements, this company is committed to fostering a rewarding environment for its team. As an AI Engineer, you'll play a pivotal role in developing cutting-edge solutions that make a real difference in care delivery.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at startups or in AI roles. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs or AI applications. This gives you a chance to demonstrate your hands-on experience and creativity.
✨Tip Number 3
Prepare for interviews by brushing up on your coding skills and understanding AI concepts. Practice common coding challenges and be ready to discuss how you've tackled real-world problems in your previous roles.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with LLMs and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
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 you can contribute to our mission. Keep it concise but impactful – we love a good story!
Showcase Your Projects:If you've built any products or systems, make sure to showcase them in your application. We’re keen to see your hands-on experience, especially in startup environments. Don’t be shy about sharing links or descriptions!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Salt
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs and applied AI. Be ready to discuss specific projects you've worked on, especially those that involved building products from scratch. This role is all about engineering, so highlight your hands-on experience with relevant technologies.
✨Showcase Your Problem-Solving Skills
Prepare to tackle real-world challenges during the interview. Think about how you would approach building AI agents or structuring clinical notes from free text. Practise explaining your thought process clearly, as they’ll want to see how you break down complex problems.
✨Demonstrate Your Engineering Expertise
Since this role has a strong backend focus, be ready to discuss your experience with Python and TypeScript. Bring examples of systems you've designed, built, and deployed. If you've worked with frameworks like LangChain, make sure to mention it!
✨Be Ready for Collaboration
This position involves working closely with product teams, so be prepared to talk about your experience in collaborative environments. Share examples of how you've contributed to cross-functional projects and how you can help shape the AI function in a startup setting.
