At a Glance
- Tasks: Build and launch our AI library, shaping the future of tech with founders.
- Company: Join a pioneering startup with a focus on cutting-edge AI technology.
- Benefits: Equity stake, competitive salary, health benefits, and hybrid work environment.
- Other info: Enjoy team lunches, gym access, and a dynamic startup atmosphere.
- Why this job: Make a direct impact on company success and shape the culture from day one.
- Qualifications: PhD graduates with strong ML engineering and Python expertise.
The predicted salary is between 36000 - 60000 £ per year.
As one of the first hires, you will work directly with the founders to build our MVP and launch it to our first users. Your input will extend beyond just the product; you will shape our technical foundation, engineering culture, and decision-making processes. As our Founding AI Engineer, you will develop and improve our AI library, bringing the most cutting-edge technology to our users. Your background may be in research, where you learned how to distill findings from papers to real solutions, or you worked on AI technology at your last company, bringing LLMs to the existing tech-stack and improving key KPIs. You will work alongside the CTO and Founding Software Engineer to build a first-of-its-kind platform that combines the best of modern software with the latest AI.
Key Responsibilities
- Build and ship our AI library, working closely with the CTO and Founding Software Engineer
- Reduce hallucination and improve safety of our LLM outputs
- Research latest AI developments and integrate them into our library
- Data and prompt engineering
- Drive your own work-stream and product roadmaps
- Work directly with our users to drive improvements in the product
Who We're Looking For
- Higher Education (BSc, MSc, PhD) and/or research background
- 5+ years of experience, accepting graduates only from PhD programs
- Strong ML Engineering expertise
- Solid understanding of back-end development and infrastructure, such as Flask and Django
- Experience launching AI products and/or deploying ML models at scale
- Experience delivering products and features to a production environment
- Previous experience building and maintaining Python libraries in production
- Comfortable with rapid iteration and changing requirements
- Previous startup experience preferred
Technical Background
- Expert in Python and relevant web frameworks such as Flask/Django
- Strong LLM and prompt engineering fundamentals
- Experience with RAG (Retrieval Augmented Generation)
- Familiarity with cloud infrastructure (Azure & AWS)
- Knowledge of Multi-Agent LLM systems
- Understanding of anti-hallucination and AI security best practices
- Experience with CI/CD and DevOps practices
Why Join Us
- Founding team member equity stake
- Competitive salary
- Comprehensive health benefits
- Direct impact on company success
- Work directly with founders and users
- Shape company culture from day one
- Hybrid work environment, with 3 days on-site
- Team lunch Wednesdays
- On-site gym access paid by the company
- Two years of runway secured in a pre-seed round
Founding AI Engineer in London employer: Nettle
Nettle is an exceptional employer, offering a dynamic work environment in the heart of Shoreditch, London, where innovation meets collaboration. With a strong focus on employee growth, you will have the opportunity to shape the sales function and step into leadership roles as the company scales rapidly. Enjoy competitive compensation, uncapped variable earnings, and equity options, all while being part of a team that values high performance and leverages cutting-edge AI technology to redefine the commercial insurance landscape.
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 industry, attend meetups, and connect with potential colleagues on LinkedIn. The more you engage, the better your chances of landing that Founding AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, research, or any relevant work. This will give us a clear picture of what you can bring to the table when we’re looking for someone to shape our technical foundation.
✨Tip Number 3
Prepare for those interviews! Brush up on your ML engineering expertise and be ready to discuss how you’ve tackled challenges in past roles. We want to see how you think and solve problems, so come armed with examples.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in being part of our journey from the ground up.
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! We want to see how your background and experiences align with our mission. Share specific projects or research that excite you and demonstrate your commitment to pushing the boundaries of AI technology.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Founding AI Engineer role. Highlight relevant experiences, especially those involving LLMs and Python libraries. We love seeing how your unique skills can contribute to our team, so don’t hold back on showcasing your achievements!
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured documents that are easy to read. Use bullet points where necessary and avoid jargon unless it’s relevant to the role. Remember, we’re looking for clarity in communication as much as technical expertise!
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. We can’t wait to hear from you!
How to prepare for a job interview at Nettle
✨Know Your AI Stuff
Make sure you brush up on the latest developments in AI, especially around LLMs and prompt engineering. Be ready to discuss how you've applied these concepts in your previous roles or research, as this will show your depth of knowledge and passion for the field.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in past projects, particularly in reducing hallucination or improving safety in AI outputs. This will demonstrate your ability to think critically and adapt to changing requirements, which is crucial for a founding role.
✨Understand the Company Culture
Since you'll be shaping the engineering culture, it's important to convey your vision for a collaborative and innovative environment. Think about how you can contribute to a positive team dynamic and be prepared to discuss your approach to driving product roadmaps.
✨Ask Insightful Questions
Come prepared with questions that show your interest in the company's direction and your potential role in it. Inquire about their expectations for the MVP launch, how they envision the AI library evolving, and what success looks like for them in the first year. This shows you're not just interested in the job, but also in the company's mission.
