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- Tasks: Join a team to develop cutting-edge AI reasoning tools using Python and Typescript.
- Company: Be part of a pioneering AI startup founded by top researchers from prestigious institutions.
- Benefits: Enjoy a competitive salary, equity options, and relocation support to London.
- Why this job: Work on impactful AI projects with an elite team in a fast-paced environment.
- Qualifications: Degree from a leading university and experience in AI-focused products required.
- Other info: This role offers autonomy and the chance to tackle challenging technical problems.
The predicted salary is between 130000 - 170000 £ per year.
£150,000 – £170,000 + meaningful equity
On-site in London (£10K relocation provided)
Join a deeply technical AI-native startup founded by PhDs and researchers from Cambridge, Imperial, and other top European and US institutions. This is an opportunity to work directly with a team who’ve published at leading AI conferences, built open-source tools used across the industry, and scaled high-performance systems from first principles.
Now, they’re hiring a Founding Full Stack Software Engineer to help build the next generation of reasoning tools powered by large language models. You can be more front end or back end leaning provided you've worked in a similar high growth start-up, ideally in AI. The product is already live with paying customers, and the company is well-funded with serious growth ambitions.
What you’ll work on:
- Technical Expertise & Development (Python and Typescript)
- Python expert with experience in PostgreSQL databases.
- Experience with LLM-powered application architecture and developing efficient inference pipelines and backend infrastructure.
Nice to Have (if front end leaning):
- Familiarity with UI/UX design tools (e.g., Figma) and WYSIWYG HTML document editor APIs (e.g., TinyMCE, CKEditor 5).
What they’re looking for:
- A degree from a leading university (e.g. Cambridge, Oxford, Imperial, Edinburgh, EPFL, ETH Zurich, ENS, TUM, etc.)
- Experience in AI-focused products, ideally within a high-growth or research-heavy environment
- Strong Python engineering skills; full-stack capability a bonus (Postgres, Typescript, React)
- A bias toward action, autonomy, and technical depth
This isn’t a typical start-up job. It’s a chance to work alongside an elite team of engineers and scientists on hard technical problems — with equity and early ownership in a company building something truly original in the AI space.
If you’re ready to build fast, learn constantly, and work on meaningful AI challenges, we’d love to hear from you.
Contact Detail:
LinkedIn Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Full Stack AI Engineer
✨Tip Number 1
Network with professionals in the AI and tech community, especially those who have experience in high-growth startups. Attend meetups, conferences, or webinars where you can connect with potential colleagues or mentors who might provide insights into the company culture and expectations.
✨Tip Number 2
Showcase your technical expertise by contributing to open-source projects or creating your own projects that demonstrate your skills in Python, Typescript, and AI applications. This not only builds your portfolio but also highlights your passion for the field.
✨Tip Number 3
Familiarise yourself with the latest trends and advancements in AI, particularly around large language models. Being able to discuss recent developments or share your thoughts on future directions during interviews can set you apart from other candidates.
✨Tip Number 4
Prepare to demonstrate your problem-solving skills through technical challenges or coding tests. Practice common algorithms and data structures, and be ready to explain your thought process clearly, as this is crucial in a fast-paced startup environment.
We think you need these skills to ace Founding Full Stack AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Typescript, and any relevant AI projects. Emphasise your full-stack capabilities and any work you've done in high-growth start-ups.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and how your background aligns with the company's mission. Mention specific projects or experiences that demonstrate your technical expertise and problem-solving skills.
Showcase Relevant Projects: If you have worked on AI-focused products or have experience with LLM-powered applications, include these in your application. Provide links to your GitHub or portfolio to showcase your work.
Highlight Your Educational Background: Since the company values degrees from leading universities, make sure to prominently feature your educational qualifications. If you attended a prestigious institution, mention any relevant coursework or projects related to AI.
How to prepare for a job interview at LinkedIn
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python, PostgreSQL, and any relevant AI projects. Highlight specific examples where you've built or contributed to LLM-powered applications, as this will demonstrate your fit for the role.
✨Demonstrate Your Problem-Solving Skills
Expect technical questions that assess your ability to tackle complex problems. Prepare to walk through your thought process on how you would approach building efficient inference pipelines or backend infrastructure.
✨Familiarise Yourself with Their Product
Research the company's existing products and understand their architecture. Being able to discuss their current offerings and suggest potential improvements can set you apart from other candidates.
✨Emphasise Your Autonomy and Bias Toward Action
This role requires a proactive mindset. Share examples from your past experiences where you took initiative or led projects independently, showcasing your ability to thrive in a high-growth start-up environment.
