At a Glance
- Tasks: Build AI-driven products using Next.js and Python in a fast-paced environment.
- Company: Join a high-performing team within a major investment and technology firm.
- Benefits: Fully remote work, competitive contract terms, and the chance to work with cutting-edge tech.
- Other info: Enjoy a dynamic, execution-focused environment with opportunities for growth.
- Why this job: Make a real impact by shipping production-grade AI systems that solve real-world challenges.
- Qualifications: Experience in full-stack development, particularly with LLM integration and AI product deployment.
The predicted salary is between 60000 - 80000 € per year.
I’m working on multiple hires for a high-performing team building AI-driven products within a major investment and technology environment. They’re looking for strong Full-Stack AI Engineers who can operate in a fast-paced, highly technical environment and help build production-grade AI systems from the ground up.
Tech stack:
- Next.js
- Python
- Microsoft Azure
- Strong experience with LLM integration, RAG architectures and agentic systems
This is not a “playground AI” role. They want engineers who have actually shipped AI products into production and understand the engineering challenges around scalability, orchestration, reliability and real-world usage and can talk about it during the interview.
Financial services or investment management exposure is highly valuable, particularly private markets/private equity environments, but broader FS experience is also relevant. The environment is high-intensity and execution-focused, so it suits people who enjoy moving quickly, taking ownership and working alongside strong engineers.
Contract details:
- 6-month rolling contracts
- Fully remote across the UK & Europe
- Other locations considered if aligned to UAE working hours
Full-Stack AI Engineer - Next.js & Python in London employer: Orbis Group
Join a dynamic and innovative team that thrives on pushing the boundaries of AI technology in a fast-paced investment environment. As a Full-Stack AI Engineer, you'll benefit from a fully remote work culture that promotes flexibility and work-life balance, while also having access to continuous professional development opportunities. With a focus on impactful projects and collaboration with top-tier engineers, this role offers a unique chance to contribute to cutting-edge AI solutions that drive real-world results.
StudySmarter Expert Advice🤫
We think this is how you could land Full-Stack AI Engineer - Next.js & Python in London
✨Tip Number 1
Get your tech stack sorted! Make sure you can confidently discuss Next.js, Python, and Azure. Brush up on your LLM integration and RAG architectures so you can impress during those technical interviews.
✨Tip Number 2
Showcase your real-world experience! Be ready to share specific examples of AI products you've shipped and the challenges you faced. This will help you stand out as someone who knows the ins and outs of production-grade systems.
✨Tip Number 3
Network like a pro! Connect with other engineers in the financial services sector. Use platforms like LinkedIn to engage with industry professionals and join relevant groups to stay updated on job openings.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're serious about joining our high-performing team. Don't miss out on the chance to work on cutting-edge AI projects!
We think you need these skills to ace Full-Stack AI Engineer - Next.js & Python in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Next.js and Python, as well as any relevant AI projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background in financial services or investment management makes you a great fit. Let us know what drives you and how you can contribute to our team.
Showcase Your Projects:If you've shipped AI products into production, make sure to mention them! We love seeing real-world examples of your work, especially those that demonstrate your understanding of scalability and reliability. Include links or descriptions of your projects.
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 don’t miss out on any important updates. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Orbis Group
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in Next.js and Python, as well as Microsoft Azure. Brush up on your experience with LLM integration and RAG architectures, because they’ll want to hear about your hands-on experience with these technologies during the interview.
✨Showcase Real-World Experience
Prepare to discuss specific AI products you've shipped into production. Be ready to explain the engineering challenges you faced, particularly around scalability and reliability. This isn’t just theory; they want to know how you’ve tackled real-world problems.
✨Understand the Financial Services Landscape
If you have experience in financial services or investment management, make sure to highlight it. They value exposure to private markets and private equity environments, so be prepared to discuss how your background aligns with their needs.
✨Embrace the Fast-Paced Environment
This role is all about execution and ownership. Be ready to demonstrate your ability to work quickly and efficiently. Share examples of how you’ve thrived in high-intensity situations and contributed to a team of strong engineers.
