Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build AI-driven applications that transform enterprise workflows.
- Company: Exciting Silicon Valley AI startup expanding to London.
- Benefits: Competitive salary, opportunity to work closely with founders, and a dynamic startup culture.
- Why this job: Be a founding engineer and shape the future of AI technology.
- Qualifications: Experience in AI/ML, startup environments, and proficiency in React and Python.
- Other info: Join a small team of innovators and enjoy rapid career growth.
The predicted salary is between 36000 - 60000 £ per year.
TalentCo are delighted to be working with one of Silicon Valley's most exciting Agentic AI startups (YC25), looking to hire a world-class Founding AI Engineer into their London hub, as part of their international expansion from San Francisco. Having very recently raised a significant seed round from top investors, they are now keen to bring in high-potential, hyper-ambitious and AI-obsessed software engineers, as they continue to build out their engineering organisation.
You will become a founding employee in London reporting directly to the Co-founder & Chief AI Officer, designing and building full-stack applications that power AI-driven workflows for enterprise users for this early-stage startup of 13 people, so this is a rare opportunity to work extremely closely with the founders. This is a dream role for a driven software engineer to play a key role in building and scaling AI-powered applications, transforming how enterprises interact with intelligent agents.
Responsibilities- Design and build full-stack applications that power AI-driven workflows for enterprise users, building scalable backend services that support real-time AI interactions, knowledge retrieval, and automation.
- Work across the stack, with a backend focus: Own features end-to-end with React (TypeScript) and Python, blending UX and ML into production-ready code.
- Move fast with the latest tools: Leverage modern AI dev tools (Cursor, Windsurf) to experiment, prototype, and launch quickly.
- Be a collaborative, growth-minded engineer: Ship clean, tested code, embrace peer reviews, and contribute across design, product, and ML.
- Real-world AI/ML experience: Delivered AI-driven products and features to users and hungry to stay ahead of the latest AI innovations.
- Startup experience: 2+ years building and shipping products in fast-paced startup environments, with an eye for quality and scale.
- Backend-leaning full-stack fluency: Skilled in React/TypeScript and most importantly Python.
- Education to back it up: Computer Science degree is essential.
- Entrepreneurial spirit: You have the mindset and approach of a Founding Engineer. You get things done.
Seniority Level: Mid-Senior level
Employment Type: Full-time
Job Function: Engineering and Information Technology
Industries: Software Development
Founding AI Engineer in London employer: TalentCo
Contact Detail:
TalentCo Recruiting Team
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 and tech space, especially those connected to startups. Attend meetups, webinars, or even local events to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or contributions to open-source. This is your chance to demonstrate your real-world experience and passion for AI-driven solutions.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest AI trends. Be ready to discuss how you can contribute to building scalable applications and transforming enterprise interactions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
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 your enthusiasm for AI shine through! Share specific projects or experiences that highlight your obsession with AI and how you've contributed to AI-driven products in the past.
Tailor Your Experience: Make sure to customise your application to reflect the skills and experiences that align with the job description. Highlight your real-world AI/ML experience and any startup work you've done, as this is what we’re really looking for!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Founding AI Engineer role. Remember, less is often more!
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 this exciting opportunity to join our team.
How to prepare for a job interview at TalentCo
✨Know Your AI Stuff
Make sure you brush up on the latest AI and ML trends. Be ready to discuss your real-world experience with AI-driven products and how you've contributed to their success. This role is all about being at the forefront of innovation, so show them you're passionate and knowledgeable!
✨Show Off Your Startup Experience
Since this is a fast-paced startup environment, highlight your previous experiences in similar settings. Talk about how you've built and shipped products quickly while maintaining quality. They want someone who can thrive under pressure, so share specific examples of how you've done just that.
✨Demonstrate Full-Stack Fluency
Be prepared to discuss your skills in React, TypeScript, and Python. They’re looking for someone who can own features end-to-end, so be ready to explain how you've blended UX and ML into production-ready code. If you have any projects that showcase this, definitely bring them up!
✨Embrace Collaboration
This role requires a collaborative mindset, so be ready to talk about how you work with others. Share examples of how you've embraced peer reviews and contributed across design, product, and ML. They want to see that you're not just a lone wolf but a team player who can help build a strong engineering culture.