At a Glance
- Tasks: Join us to build and launch our AI library, shaping the future of tech.
- Company: Be part of a pioneering startup with a focus on cutting-edge AI solutions.
- Benefits: Enjoy equity stake, competitive salary, health benefits, and a hybrid work environment.
- Other info: Experience with cloud infrastructure and previous startup experience preferred.
- Why this job: Make a direct impact, work with founders, and shape company culture from day one.
- Qualifications: PhD graduates with 5+ years in ML Engineering and strong Python skills are welcome.
The predicted salary is between 43200 - 72000 £ 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 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
✨Tip Number 1
Network with professionals in the AI and tech industry. Attend meetups, webinars, or conferences where you can connect with people who might have insights into our company or similar startups. Building relationships can often lead to referrals or insider information about job openings.
✨Tip Number 2
Showcase your expertise by contributing to open-source projects or writing articles on platforms like Medium or LinkedIn. This not only demonstrates your skills but also highlights your passion for AI and technology, making you a more attractive candidate for us.
✨Tip Number 3
Familiarise yourself with our current tech stack and the latest trends in AI. Being able to discuss how you can apply cutting-edge technologies to improve our products will set you apart during interviews and show that you're proactive about your role.
✨Tip Number 4
Prepare to discuss your previous experiences in detail, especially any relevant projects where you launched AI products or improved ML models. Be ready to explain your thought process and the impact of your work, as this will resonate well with our founders and team.
We think you need these skills to ace Founding AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in AI and ML engineering. Focus on projects where you've developed or improved AI libraries, and mention any specific technologies like Python, Flask, or Django that you have worked with.
Craft a Compelling Cover Letter:In your cover letter, express your enthusiasm for the role and the company. Discuss how your background in research or previous AI roles aligns with the responsibilities of the Founding AI Engineer position. Be sure to mention your experience with LLMs and any startup experience.
Showcase Your Technical Skills:Include specific examples of your technical expertise in your application. Highlight your experience with cloud infrastructure, CI/CD practices, and any anti-hallucination techniques you've implemented in past projects.
Demonstrate Your Problem-Solving Abilities:Provide examples of how you've driven product improvements or solved complex problems in your previous roles. This could include details about how you integrated new AI developments into existing systems or improved key performance indicators through your work.
How to prepare for a job interview at Nettle
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Python and relevant web frameworks like Flask and Django. Highlight specific projects where you’ve built or maintained AI libraries, and be ready to explain the technical challenges you faced and how you overcame them.
✨Demonstrate Your Research Skills
Since the role involves integrating cutting-edge AI developments, share examples of how you've distilled complex research findings into practical solutions. Discuss any relevant papers you've worked on and how they influenced your approach to AI technology.
✨Emphasise Your Startup Experience
If you have previous startup experience, make sure to highlight it. Talk about how you adapted to rapid changes and contributed to building a product from the ground up. This will show that you can thrive in a dynamic environment.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially related to reducing hallucination in LLM outputs and improving AI safety. Think of scenarios where you had to troubleshoot issues in AI models and be ready to discuss your thought process.
