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For Companies At a Glance
- Tasks: Own the full stack development of impactful AI systems for real customers.
- Company: Dynamic AI company in London with a flat structure and direct leadership access.
- Benefits: Competitive salary, meaningful upside, and access to 50+ portfolio companies.
- Why this job: Make a real impact with your code reaching thousands of users from day one.
- Qualifications: 5+ years in AI production systems, strong engineering fundamentals, and modern AI/ML experience.
- Other info: Join a collaborative team focused on innovation and growth.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking exceptional AI Engineers who can operate at the intersection of cutting-edge AI technology and real-world business impact. This isn’t about building demos or proofs-of-concept. You will own end-to-end development of production AI systems serving actual customers at scale from day one.
Technical Excellence
- Strong engineering fundamentals with 5+ years building AI production systems
- Comfortable with infrastructure (K8s, cloud platforms), backend (Python, FASTapi) and front-end (React, TypeScript)
- Hands-on experience with modern AI/ML frameworks and deployment patterns, including GenAI
- Track record of shipping products that scale to thousands of users
Additional benefits:
- Competitive base salary and benefits
- Meaningful upside participation in the value you create
- Direct access to 50+ portfolio companies and their operations
- Flat structure with direct access to leadership
- Your code reaches thousands of users from day one
What You’ll Do
Own the full stack
AI Software Engineer employer: Saunders Scott
Contact Detail:
Saunders Scott Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Software Engineer
✨Tip Number 1
Network like a pro! Connect with people in the AI space on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly to hiring managers.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that demonstrate your ability to build production systems. This will give potential employers a taste of what you can do right from the get-go.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding of AI frameworks. Practice common interview questions and consider mock interviews to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented AI Engineers, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your application status!
We think you need these skills to ace AI Software Engineer
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your technical expertise in AI and software engineering. We want to see your experience with production systems, cloud platforms, and the frameworks you’ve worked with. Don’t hold back on showcasing your projects!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. We’re looking for someone who can own the full stack, so make it clear how your background aligns with our needs. A little effort goes a long way!
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity and brevity. Use bullet points where possible to make your achievements stand out. Remember, we’re busy too!
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 genuinely interested in joining our team!
How to prepare for a job interview at Saunders Scott
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, FASTapi, and React. Brush up on your knowledge of K8s and cloud platforms too, as they’ll likely come up during technical discussions.
✨Showcase Real-World Impact
Prepare examples of how your previous work has made a tangible impact. Be ready to discuss specific projects where you’ve developed AI systems that served real customers, highlighting the scale and success of those projects.
✨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Practice explaining your thought process when tackling complex problems, especially in AI/ML contexts. This will show your ability to think critically and adapt in real-time.
✨Engage with the Interviewers
Don’t just wait for questions; engage with your interviewers. Ask insightful questions about their current projects or challenges they face. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.