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: Enjoy fully remote work, competitive contracts, and the chance to work with cutting-edge tech.
- Other info: Dynamic, execution-focused environment with opportunities for growth and ownership.
- Why this job: Make a real impact by shipping production-grade AI systems that solve real-world challenges.
- Qualifications: Experience in full-stack development and familiarity with 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 employer: Orbis Group
Join a dynamic and innovative team that thrives on pushing the boundaries of AI technology in a fast-paced investment and technology 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 and the chance to collaborate with top-tier engineers. This role offers a unique opportunity to make a significant impact by building production-grade AI systems that drive real-world applications.
StudySmarter Expert Advice🤫
We think this is how you could land Full-Stack AI Engineer - Next.js & Python
✨Tip Number 1
Get your tech stack ready! Brush up on Next.js and Python, and make sure you can discuss your experience with LLM integration and RAG architectures. We want to see that you can talk the talk and walk the walk when it comes to building AI systems.
✨Tip Number 2
Show us your real-world experience! Be prepared to share specific examples of AI products you've shipped into production. We love hearing about the challenges you faced and how you tackled them, especially in high-intensity environments like financial services.
✨Tip Number 3
Network like a pro! Connect with other engineers in the field and join relevant online communities. This can help you get insider tips and even referrals. Plus, it’s a great way to stay updated on industry trends and best practices.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate engineers who thrive in fast-paced environments, so don’t hesitate to show us what you’ve got!
We think you need these skills to ace Full-Stack AI Engineer - Next.js & Python
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let us see your enthusiasm for AI and how it drives you. Share specific examples of projects where you've built or integrated AI systems, especially in production environments. This will help us understand your experience and commitment to the field.
Tailor Your CV and Cover Letter:Make sure your CV and cover letter are tailored to the role. Highlight your experience with Next.js, Python, and any relevant tech stacks. We want to see how your skills align with our needs, so don’t be shy about showcasing your achievements!
Be Clear and Concise:Keep your application clear and to the point. Use bullet points for easy reading and avoid jargon unless it's relevant. We appreciate straightforward communication, so make it easy for us to see why you're a great fit for the team.
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 the role. Plus, it shows us that you’re proactive and keen to join our team!
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 you’ll want to showcase your technical skills and how they apply to building production-grade AI systems.
✨Prepare Real-World Examples
Think of specific projects where you’ve shipped AI products into production. Be ready to discuss the engineering challenges you faced, particularly around scalability and reliability. This will demonstrate your hands-on experience and problem-solving abilities.
✨Understand the Financial Services Landscape
If you have experience in financial services or investment management, be prepared to talk about it. Highlight any relevant projects or roles that align with private markets or private equity environments, as this could set you apart from other candidates.
✨Show Your Passion for Fast-Paced Environments
This role is all about moving quickly and taking ownership. During the interview, express your enthusiasm for working in high-intensity settings and share examples of how you thrive under pressure while collaborating with strong engineers.
