At a Glance
- Tasks: Design and deploy cutting-edge AI systems that make a real impact.
- Company: Exciting early-stage AI company with a fast-paced, innovative culture.
- Benefits: Competitive salary up to £140k, equity, and founding-level ownership.
- Other info: Dynamic environment with high expectations and opportunities for rapid growth.
- Why this job: Shape the future of AI products and influence engineering culture from day one.
- Qualifications: Strong software engineering skills and hands-on experience with LLMs.
The predicted salary is between 140000 - 140000 € per year.
The following information provides an overview of the skills, qualities, and qualifications needed for this role. We’re working with a well-backed early-stage AI company building enterprise-grade generative AI systems for complex, high-value workflows. The team is small, technical, and moving fast - they’re now looking for a Founding AI Engineer to help shape both the product and engineering culture from the ground up. This is not a “maintain legacy systems” type role. You’ll be joining at the stage where architecture decisions still matter, product direction changes weekly, and exceptional engineers can have outsized impact.
The focus of the role is GenAI systems engineering - designing, evaluating, and deploying LLM-powered products that operate reliably in production environments.
What you’ll be doing:
- Building and improving LLM orchestration pipelines
- Designing prompt systems, evaluation frameworks, and feedback loops
- Working across retrieval, context management, agent workflows, and inference optimisation
- Deploying AI products into production with a strong focus on reliability and observability
- Collaborating closely with founders, product, and end users to rapidly iterate on features
- Helping establish engineering best practices, tooling, and technical direction early on
What they’re looking for:
- Strong software engineering fundamentals
- Hands-on experience building with LLMs and modern AI tooling
- Experience shipping real products, not just prototypes
- Someone comfortable owning problems end-to-end rather than waiting for detailed specs
- Engineers already using AI-native development workflows
- Ability to move quickly without sacrificing engineering quality
Experience across AI engineering, backend systems, data infrastructure, or scalable SaaS platforms is all relevant.
The environment:
This suits someone who genuinely enjoys early-stage engineering. The pace is high, expectations are high, and there’s a strong bias toward ownership and execution.
In return, you’ll get:
- Real influence over product, architecture, and technical culture from day one
- Up to £140k
- Meaningful equity
- Founding-level ownership and autonomy
- London-based, in-office collaboration
If you’re interested in building production-grade GenAI systems in a genuinely high-calibre start-up environment, happy to discuss further.
Founding AI Engineer in London employer: UK CPC
As a Founding AI Engineer at this innovative early-stage AI company in London, you will be part of a dynamic team that values ownership and execution, allowing you to significantly influence product direction and engineering culture from the outset. With a competitive salary of up to £140,000 plus meaningful equity, you will enjoy a collaborative work environment that fosters rapid iteration and personal growth, making it an exceptional place for talented engineers eager to make a real impact in the world of generative AI.
StudySmarter Expert Advice🤫
We think this is how you could land Founding AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI space, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage with the community, the better your chances of landing that Founding AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with LLMs and AI tooling. Share projects that demonstrate your ability to build and deploy real products, not just prototypes. This will make you stand out when applying through our website.
✨Tip Number 3
Be ready to chat about your ideas! When you get an interview, come prepared with thoughts on how you’d approach building GenAI systems. Discussing your vision for product direction and engineering culture can really impress the founders.
✨Tip Number 4
Stay adaptable! In a fast-paced environment, being flexible is key. Show that you can pivot quickly and embrace change, as this is crucial for a role where architecture decisions matter and product direction evolves weekly.
We think you need these skills to ace Founding AI Engineer in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and generative systems. Share any projects or experiences that highlight your hands-on work with LLMs and modern AI tooling. We want to know what excites you about this field!
Tailor Your Application:Make sure to customise your CV and cover letter to reflect the specific skills and qualities mentioned in the job description. Highlight your experience in building production-grade products and how you've contributed to engineering culture in previous roles. We love seeing candidates who take the time to connect their background to our needs.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your experiences and achievements. We appreciate well-structured applications that make it easy for us to see your qualifications at a glance.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team right from the start!
How to prepare for a job interview at UK CPC
✨Know Your AI Stuff
Make sure you brush up on your knowledge of generative AI systems and LLMs. Be ready to discuss your hands-on experience with these technologies, as well as any projects you've worked on that showcase your ability to build and deploy AI products.
✨Showcase Your Problem-Solving Skills
This role is all about ownership and execution, so be prepared to talk about how you've tackled complex engineering challenges in the past. Share specific examples where you took initiative and drove a project from start to finish.
✨Emphasise Collaboration
Since you'll be working closely with founders and product teams, highlight your experience in collaborative environments. Discuss how you've iterated on features based on user feedback and how you can contribute to shaping the engineering culture.
✨Be Ready for Fast-Paced Questions
Expect the interview to move quickly, reflecting the dynamic nature of the company. Practice answering questions succinctly and clearly, demonstrating your ability to think on your feet while maintaining high engineering quality.
