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For Companies At a Glance
- Tasks: Own the full stack and build production-grade AI applications that impact real customers.
- Company: Join a cutting-edge AI company with a flat structure and direct access to leadership.
- Benefits: Competitive salary, meaningful upside, and access to 50+ portfolio companies.
- Why this job: Transform innovative AI research into revenue-generating products from day one.
- Qualifications: 5+ years in AI production systems, strong engineering fundamentals, and team collaboration skills.
- Other info: Dynamic environment with opportunities to grow across multiple industries.
The predicted salary is between 70000 - 90000 £ per year.
We're 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
What You'll Do
- Own the full stack & product lifecycle
- Architect and build production-grade AI applications from zero to one
- Design systems that handle enterprise-scale data and millions of users from day one
- Implement everything from model serving infrastructure to polished user interfaces
- Make critical technical decisions balancing innovation with reliability
- Ship with velocity: build like a startup, scale like an enterprise
- Solve AI's hardest problem: real-world deployment
- Navigate the complexity of implementing AI in messy, regulated, legacy-filled enterprise environments
- Build solutions that work with imperfect data, demanding SLAs, and complex stakeholder requirements
- Transform cutting-edge research into revenue-generating products, not demos
- Tackle technically challenging problems across fintech, enterprise SaaS, B2B services and more
- Operate as a serial product builder
- Lead product development across multiple portfolio companies and industries
- Hone your skills across different verticals in 9-18 month sprints
- Build institutional knowledge about what makes AI products succeed or fail
- Own the entire AI product lifecycle from ideation to production
Execution Velocity
- Demonstrated ability to ship fast without sacrificing quality
- Experience in high-growth startups or equally fast-paced environments
- Comfortable with ambiguity and rapid iteration
- Strong opinions, loosely held: able to make decisions with incomplete information
Product & Business Acumen
- Intuition for what makes products valuable to users
- Ability to translate between technical complexity and business value
- Experience working directly with customers and stakeholders
- Understanding of enterprise software dynamics is a plus
Mindset & Drive
- Enthusiasm about AI – from the products we are building, to the latest tools, and AI-first ways of working
- Hunger to build products that matter, not just interesting technology
- Ownership mentality: you don't wait for specifications, you create them
- Intellectual curiosity across industries and technologies
- Thrives in intense, high-performance environments
- Ready to work hard and learn fast
Location: London (in-person 3 days/week, with travel to portfolio companies)
Start date: Immediate
Team size: Small, elite, and growing thoughtfully
AI Software Engineer in London employer: Saunders Scott
Contact Detail:
Saunders Scott Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Software Engineer in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI space. Attend meetups, conferences, or even online webinars. 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. Share it on platforms like GitHub or your personal website, and don’t forget to link it in your applications.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice coding challenges and be ready to discuss how you've tackled real-world problems in AI. Remember, they want to see how you think and solve issues, not just what you know.
✨Tip Number 4
Apply through our website! We’re always on the lookout for talented AI Engineers. Tailor your application to highlight your experience with production systems and your passion for building impactful AI solutions. Let’s get you in the door!
We think you need these skills to ace AI Software Engineer in London
Some tips for your application 🫡
Show Your Passion for AI: Let us see your enthusiasm for AI in your application! Share specific projects or experiences that highlight your love for building impactful AI solutions. We want to know what drives you!
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Software Engineer role. Highlight relevant skills and experiences that align with our job description. This shows us you’re serious about joining our team!
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless necessary. We appreciate a well-structured application that gets straight to the point!
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 any important updates from our team. Let’s get started!
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 AI/ML frameworks and deployment patterns, especially GenAI, as you’ll need to demonstrate your technical prowess during the interview.
✨Showcase Real-World Impact
Prepare examples of how you've built production AI systems that have made a tangible impact. Be ready to discuss specific projects where your work has scaled to thousands of users, highlighting your role in the product lifecycle from ideation to deployment.
✨Emphasise Your Problem-Solving Skills
Expect questions about navigating complex environments and working with imperfect data. Share stories that illustrate your ability to tackle challenging problems and make critical technical decisions while balancing innovation with reliability.
✨Demonstrate Your Ownership Mentality
Convey your enthusiasm for taking initiative and creating specifications rather than waiting for them. Discuss how you thrive in fast-paced environments and your hunger to build products that truly matter, showcasing your drive and intellectual curiosity.