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- Tasks: Join a team crafting AI solutions that deliver impactful insights and tackle complex challenges.
- Company: numi is on a mission to revolutionise how organisations understand their environment through innovative AI.
- Benefits: Enjoy a collaborative startup culture with opportunities for growth and real impact on development processes.
- Why this job: Be at the forefront of AI innovation, working on projects that truly matter and make a difference.
- Qualifications: 5+ years coding experience in Python, hands-on with LLMs, and strong backend systems knowledge required.
- Other info: Screening calls will be held in the next couple of weeks, so apply now!
The predicted salary is between 43200 - 72000 £ per year.
numi are incredibly proud to have this new partnership with not just another tech company; they are on a mission to fundamentally change how organisations understand the world around them. They are tackling the understanding gap head-on, using cutting-edge AI to deliver insights that truly matter. They are looking for an AI Engineer who is not just passionate about writing code, but about building something that makes a real difference. If you are someone who thrives on solving complex problems and loves seeing your work have a tangible impact, this is your chance to shine.
They are looking for someone who can:
- Dive deep into their AI engine, crafting clean, efficient code that powers their groundbreaking insights platform. They value simplicity and maintainability, so you will be building solutions that stand the test of time.
- Explore the exciting world of Large Language Models (LLMs), turning vast datasets into clear, actionable insights. You will be at the forefront of AI innovation, helping to create solutions that push the boundaries of what is possible.
- Tackle complex technical challenges with enthusiasm, breaking them down into manageable tasks and helping the team overcome any roadblocks. You will be a key player in a collaborative environment, where your ideas and contributions are valued.
- Champion best practices in their fast-paced startup environment, ensuring scalability and quality as they grow. You will have the opportunity to make a real impact on their development processes.
The ideal candidate will bring:
- 5+ years of solid coding experience, with a strong foundation in Python. They are looking for someone who can hit the ground running and contribute from day one.
- Hands-on experience working with LLMs and evaluation systems in a product-driven context. You will need to understand how to apply AI to real-world problems and measure its effectiveness.
- A strong background in backend systems and a knack for seeing the big picture. They need someone who can think strategically and consider the long-term implications of their decisions.
- Excellent communication skills and a genuine passion for problem-solving. You will be working with a diverse team, so the ability to communicate effectively is essential.
If this sounds interesting apply below, screening calls will be taking place over the next couple weeks!
Contact Detail:
numi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (City of London)
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and Large Language Models. Being able to discuss recent developments or breakthroughs during your interview will show your passion and commitment to the field.
✨Tip Number 2
Prepare to showcase your problem-solving skills by thinking of specific examples where you've tackled complex technical challenges. This will demonstrate your ability to break down problems and contribute effectively to the team.
✨Tip Number 3
Engage with the AI community online, whether through forums, webinars, or social media. Networking with professionals in the field can provide insights into the company culture and may even lead to referrals.
✨Tip Number 4
Brush up on your communication skills, especially in explaining complex concepts in simple terms. Since you'll be working in a diverse team, being able to convey your ideas clearly is crucial for collaboration.
We think you need these skills to ace AI Engineer (City of London)
Some tips for your application 🫡
Understand the Company: Before applying, take some time to understand numi's mission and values. Familiarise yourself with their approach to AI and how they aim to bridge the understanding gap. This knowledge will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasise your 5+ years of coding experience, particularly in Python. Mention any hands-on work you've done with Large Language Models (LLMs) and how you've applied AI to solve real-world problems.
Showcase Problem-Solving Skills: Provide examples of complex technical challenges you've tackled in previous roles. Describe how you broke them down into manageable tasks and contributed to team solutions, showcasing your collaborative spirit.
Communicate Passion and Fit: In your application, express your genuine passion for AI and problem-solving. Highlight your communication skills and how you can contribute to a diverse team environment, aligning with numi's collaborative culture.
How to prepare for a job interview at numi
✨Showcase Your Coding Skills
Be prepared to demonstrate your coding abilities, especially in Python. You might be asked to solve a problem on the spot, so practice common algorithms and data structures beforehand.
✨Discuss Your Experience with LLMs
Since the role involves working with Large Language Models, come ready to discuss your hands-on experience. Share specific examples of projects where you've applied LLMs to solve real-world problems.
✨Emphasise Problem-Solving Skills
Highlight your approach to tackling complex technical challenges. Be ready to explain how you break down problems into manageable tasks and how you've helped teams overcome obstacles in the past.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice articulating your thoughts clearly and concisely, and be prepared to engage in discussions about your ideas and contributions during the interview.
