At a Glance
- Tasks: Design and implement cutting-edge AI systems for scientific and engineering challenges.
- Company: Exciting seed-stage startup at the forefront of AI technology.
- Benefits: Competitive salary, equity options, and a hybrid working model.
- Other info: Dynamic environment with opportunities for growth and influence.
- Why this job: Join a small team to shape the future of AI and make a real impact.
- Qualifications: Strong programming skills in Python and C++, with 2+ years of experience.
The predicted salary is between 60000 - 80000 € per year.
An early-stage deep tech organisation dedicated to building next-generation AI systems for physical-aware reasoning in scientific and engineering domains. They are working at the forefront of AI infrastructure, machine learning, and computational tooling.
As the first Founding AI Engineer hire, you will join a small, ambitious team to help define and build advanced AI systems that can reason across structured scientific and engineering problems, such as geometry, mathematics, biology, and hardware design.
Responsibilities
- Design and implement AI reasoning systems for structured scientific and engineering problems
- Develop models for advanced reasoning across domains such as geometry, mathematics, biology, and hardware
- Collaborate on technical direction, system architecture, and production engineering
- Work with multimodal AI approaches combining symbolic, geometric, and textual reasoning
- Build scalable infrastructure and tooling for advanced AI workflows
Key Skills
- Strong mathematical and analytical problem-solving abilities
- Programming experience in Python and C++
- 2+ years experience
- Experience with PyTorch and scientific computing libraries
- Background in building and maintaining technically complex systems
- Knowledge of machine learning systems
- Ability to thrive in fast-moving and ambiguous environments
- Curiosity for scientific, computational, or systems-level challenges
- Interest in AI applications beyond language models
Nice to have
- Expertise in scientific machine learning
- Experience with geometry or graph-based reasoning
- Knowledge of simulation systems
- Understanding of hardware-aware machine learning
- Systems engineering or compiler/tooling development
- Distributed computing or infrastructure experience
Competitive salary plus meaningful equity. Chance to influence technical direction at an early stage. Hybrid working model (3 days onsite in London).
Founding AI Engineer - Seed stage startup - TWE45209 in London employer: twentyAI
Join a pioneering deep tech startup at the forefront of AI innovation, where as the Founding AI Engineer, you will play a crucial role in shaping advanced AI systems for scientific and engineering challenges. Enjoy a collaborative work culture that fosters creativity and curiosity, alongside competitive salary packages and meaningful equity opportunities. With a hybrid working model based in London, this is an exceptional chance to influence the technical direction of groundbreaking projects while growing your career in a dynamic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Founding AI Engineer - Seed stage startup - TWE45209 in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech space, especially those who are already working at startups. Use platforms like LinkedIn to connect and engage with them. You never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI systems and machine learning. This is your chance to demonstrate your problem-solving abilities and technical expertise in a way that a CV just can't.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with Python, C++, and any relevant libraries. Practice coding challenges and be prepared to explain your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our ambitious team at StudySmarter.
We think you need these skills to ace Founding AI Engineer - Seed stage startup - TWE45209 in London
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI shine through! We want to see how excited you are about building next-gen AI systems and tackling complex scientific problems. Share any personal projects or experiences that highlight your passion.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight your experience with Python, C++, and any relevant projects you've worked on. We love seeing how your skills align with our mission, so don’t hold back!
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications and why you’d be a great fit for our team.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.
How to prepare for a job interview at twentyAI
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially in the context of scientific and engineering problems. Be ready to discuss your experience with machine learning frameworks like PyTorch and how you've applied them in real-world scenarios.
✨Show Off Your Problem-Solving Skills
Prepare to tackle some technical questions that test your mathematical and analytical abilities. Think about specific examples where you've solved complex problems, particularly in geometry or biology, and be ready to explain your thought process.
✨Get Familiar with Their Tech Stack
Research the tools and technologies the company uses, especially around Python and C++. If you have experience with scientific computing libraries, make sure to highlight that. Showing that you understand their tech stack will demonstrate your genuine interest in the role.
✨Embrace the Startup Vibe
Since this is a seed-stage startup, they’ll be looking for someone who thrives in fast-moving environments. Be prepared to discuss how you've navigated ambiguity in past roles and how your curiosity drives you to tackle new challenges in AI applications beyond just language models.