At a Glance
- Tasks: Build and optimise cutting-edge LLM systems for a pioneering AI startup.
- Company: Exciting VC-backed generative AI startup in London.
- Benefits: Competitive salary, hands-on experience, and a chance to shape the future of AI.
- Other info: Be part of an early-stage company where everyone codes and collaborates.
- Why this job: Join a dynamic team and tackle challenging problems with innovative solutions.
- Qualifications: Strong software engineering skills and experience with LLMs and reinforcement learning.
The predicted salary is between 60000 - 80000 £ per year.
VC-backed generative AI startup building a platform to take LLM-powered tasks to 99%+ accuracy. Early-stage, engineering-led, everyone codes.
Role
- Build, train and optimise LLM systems capable of beating industry benchmarks.
- Deploy robust generative AI systems end-to-end in production, that constantly learn.
- Build rigorous evaluation suites.
About you
- Exceptional software engineering ability with startup experience.
- Curious and loves to solve hard problems with first-principles thinking.
Requirements
- Experience deploying LLMs into production.
- Experience with deep reinforcement learning.
- Strong ML/data science and data engineering fundamentals.
- Excellent Python skills.
Founding AI Engineer - Reinforcement Learning & LLMs in London employer: algo1
Join a pioneering VC-backed generative AI startup in London, where innovation meets collaboration. As a Founding AI Engineer, you'll thrive in an engineering-led culture that values curiosity and problem-solving, while enjoying opportunities for professional growth and the chance to make a significant impact on cutting-edge LLM technology. With a focus on building robust systems and a commitment to excellence, this is an ideal environment for those looking to advance their careers in a dynamic and supportive setting.
StudySmarter Expert Advice🤫
We think this is how you could land Founding AI Engineer - Reinforcement Learning & LLMs in London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and tech community, especially those who work at startups. Attend meetups or webinars, and don’t be shy to slide into DMs on LinkedIn. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and reinforcement learning. Share your code on GitHub and write about your problem-solving process. This will help us see your thought process and technical prowess.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python skills and ML fundamentals. Practice coding challenges and system design questions that relate to deploying LLMs. We want to see how you think and tackle problems, so be ready to explain your approach!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Tailor your application to highlight your startup experience and your passion for building robust AI systems. Let us know why you’re excited about joining our team!
We think you need these skills to ace Founding AI Engineer - Reinforcement Learning & LLMs in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your exceptional software engineering abilities and any relevant experience with deploying LLMs. We want to see how your skills align with the role, so don’t hold back!
Be Curious:We love candidates who are curious and eager to solve hard problems. Share examples of how you've approached challenges in the past using first-principles thinking. It’ll show us your problem-solving mindset!
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Founding AI Engineer role. Mention your experience with deep reinforcement learning and Python skills to catch our eye.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity at our VC-backed startup!
How to prepare for a job interview at algo1
✨Know Your Stuff
Make sure you brush up on your knowledge of reinforcement learning and LLMs. Be ready to discuss your past experiences deploying LLMs into production and how you've tackled challenges in that area. The more specific examples you can provide, the better!
✨Show Off Your Coding Skills
Since this role is all about coding, be prepared to demonstrate your Python skills. You might be asked to solve a problem on the spot, so practice coding challenges related to machine learning and data engineering beforehand.
✨Think Like an Engineer
This is an engineering-led startup, so they’ll want to see your problem-solving approach. Use first-principles thinking to break down complex problems during the interview. Show them how you tackle issues step-by-step, and don’t shy away from discussing your thought process.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s vision and the technology stack they use. This shows your genuine interest in the role and helps you gauge if the startup aligns with your career goals. Plus, it gives you a chance to engage in a meaningful conversation!
