At a Glance
- Tasks: Build cutting-edge AI systems and automate complex workflows from scratch.
- Company: Exciting YC-backed startup transforming a massive industry in London.
- Benefits: Competitive salary, equity, and the chance to work with visionary founders.
- Other info: Dynamic environment focused on impactful product development.
- Why this job: Join a fast-paced team and shape the future of AI technology.
- Qualifications: Experience with LLMs and backend engineering skills in Python and TypeScript.
The predicted salary is between 120000 - 165000 € per year.
A YC-backed startup is building an AI-native platform that's transforming a massive, slow-moving industry. They're automating complex workflows that currently take weeks down to minutes using intelligent agents and LLM-powered systems. They've recently closed a significant seed round and are experiencing rapid growth. This role would see you joining their engineering team working on-site in London, building the core AI infrastructure that powers their platform.
What You'll Do
- Build production AI systems from scratch – agentic workflows, RAG pipelines, and LLM-powered automation
- Design and implement multi-agent systems that handle complex business workflows autonomously
- Own the AI stack end-to-end – from prompt engineering and guardrails to deployment and monitoring
- Work directly with founders to translate business problems into AI solutions
- Ship features fast, iterate based on real user feedback, and scale systems processing thousands of transactions
What They're Looking For
- Strong production experience with LLMs (fine-tuning, RAG, prompt engineering, agentic systems)
- Backend engineering skills (Python, FastAPI, TypeScript) – you can build the infrastructure, not just call APIs
- Shipped AI systems to production (not just prototypes or side projects)
- Comfortable with ambiguity and rapid iteration – this is zero-to-one building
- Excited about solving real problems for real users, not just cool tech for tech's sake
Tech Stack
- Python, TypeScript, LLMs (Claude, OpenAI, Gemini), RAG, Vector DBs (Pinecone), FastAPI, Next.js, PostgreSQL, GCP
What's on Offer
- Founding engineer equity – join early, own a meaningful stake
- Competitive salary for early-stage startup
- Work directly with YC-backed founders who've built and exited before
- On-site in Central London – high-intensity, high-velocity environment
- Shape the AI infrastructure of a rapidly scaling company
The Culture
This is a "hire and ship" team. They work on-site, move fast, and care deeply about building products that genuinely help people. If you want endless meetings and slow iteration, this isn't the place. If you want to build AI systems that matter and scale fast, get in touch.
Artificial Intelligence Engineer in London employer: HartleyCo
Join a dynamic YC-backed startup in Central London, where you'll be at the forefront of building transformative AI solutions that streamline complex workflows. With a strong emphasis on rapid iteration and meaningful impact, this company offers competitive salaries, equity opportunities, and a vibrant work culture that prioritises innovation and collaboration. As part of a passionate team, you'll have the chance to shape the future of AI while working closely with experienced founders in a high-velocity environment.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and backend engineering. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and real-world problem-solving scenarios. Practice explaining your thought process clearly, as communication is key when working with founders and teams.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals ready to shape the future of AI. Your next big opportunity could be just a click away!
We think you need these skills to ace Artificial Intelligence Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Engineer role. Highlight your experience with LLMs, backend engineering skills, and any production AI systems you've shipped. We want to see how your background aligns with what we're building!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how you can contribute to our mission. Be specific about your experiences and how they relate to the role. We love seeing genuine enthusiasm!
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work with agentic systems, RAG pipelines, or any other cool stuff you've built. We’re all about real-world applications here!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for this exciting opportunity. Let’s build something amazing together!
How to prepare for a job interview at HartleyCo
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, prompt engineering, and agentic systems. Be ready to discuss your past experiences with these technologies and how you've shipped AI systems to production. This is your chance to show that you can build the core AI infrastructure they need!
✨Show Off Your Backend Skills
Since they're looking for someone with strong backend engineering skills, be prepared to talk about your experience with Python, FastAPI, and TypeScript. Maybe even bring along a project or two that showcases your ability to build infrastructure, not just call APIs.
✨Embrace the Chaos
This role is all about zero-to-one building, so demonstrate your comfort with ambiguity and rapid iteration. Share examples of how you've thrived in fast-paced environments and tackled complex problems head-on. They want someone who can adapt and innovate quickly!
✨Connect with Their Mission
The startup is focused on solving real problems for real users, so make sure you express your excitement about their mission. Talk about why you’re passionate about building AI systems that genuinely help people, and how you see yourself contributing to their vision.
