At a Glance
- Tasks: Develop and enhance agentic AI solutions that make a real-world impact.
- Company: Exciting startup focused on innovative AI technology with a collaborative team.
- Benefits: Stock options, health insurance, generous leave, and a supportive work environment.
- Other info: Small team atmosphere with daily collaboration and autonomy to drive projects.
- Why this job: Join a passionate team and turn your AI ideas into reality while solving complex challenges.
- Qualifications: Strong knowledge of agentic AI and a passion for continuous learning.
The predicted salary is between 63000 - 77000 £ per year.
Your expertise lies within Agentic AI, be this commercially or through your numerous hackathon wins.
You're passionate, seeing this as a genuine worldwide game changer for humanity - this will change everything.
Now you can take your passion into your career.
Building from the ground up, this organisation has successfully implemented a niche product powered by LLMs.
Customers are queuing up to get involved, such is the value of the product and team underpinning it.
Here is where you come in.
An AI engineer, with strong knowledge of agentic AI, with a desire to keep learning and understanding more.
An environment where your LLMs are interacting with each other in meaningful ways to make things happen for the customer.
This will take the product to the next level.
What matters to them is your technical depth, your instincts and the ability to move fast.
You're not tied to tools, your mindset is about fixing and solving.
The solution doesn't need to win a Turner prize, it needs to work and be up and running as quickly as possible.
Simple, scrappy code is great - as long as it solves the problem!
This role is all about engineering.
This is about real world challenges and the answers that fix the problems faced.
This one's for you if you like to learn through failure, it is as important to understand what doesn't work as what does.
Try it, learn something, try again.
Constant iterations on LLMs, taking abstract and turning it into reality - a fully functioning system that shows real value to customers.
The team is small, you'll collaborate daily with the impressive founding team.
They're all onsite daily, there to work together to solve problems and help each other.
There's autonomy too, the team is there to help if you need it but if you're driving something forward independently you're trusted to crack on.
You'll be rewarded with stock options, health insurances and a generous annual leave policy.
If you've been building and at heart love solving complex engineering challenges then reach out for more details.
Esperto di Intelligenza Artificiale in London employer: LinuxRecruit
At LinuxRecruit, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Located in the heart of London, our team enjoys access to cutting-edge technology and a vibrant city life, alongside opportunities for professional growth and development. We are committed to empowering our employees with the tools and support they need to thrive, making us a rewarding place to build a meaningful career in the fintech sector.
StudySmarter Expert Advice🤫
We think this is how you could land Esperto di Intelligenza Artificiale in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at LinuxRecruit or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to LinuxRecruit.
✨Tap into Online Developer Communities
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✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Esperto di Intelligenza Artificiale in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at LinuxRecruit.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at LinuxRecruit and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at LinuxRecruit
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If LinuxRecruit uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
