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 AI 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 AI products and LLM integration.
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 Warrington 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 contribute to impactful AI-driven products, making it an excellent choice for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Full-Stack AI Engineer - Next.js & Python in Warrington
✨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 handle the real-world challenges of building AI systems.
✨Tip Number 2
Show us your passion for AI! During interviews, share specific examples of AI products you've shipped and the impact they had. This isn't just about theory; we want to hear about your hands-on experience in a fast-paced environment.
✨Tip Number 3
Network like a pro! Connect with other engineers in the field, especially those with experience in financial services or investment management. They might have insights or leads that could help you land that dream role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to reach out directly. Let’s get you into that high-performing team!
We think you need these skills to ace Full-Stack AI Engineer - Next.js & Python in Warrington
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Next.js and Python in your application. We want to see how you've used these technologies in real-world projects, especially if you've shipped AI products before!
Talk About Your Experience:Don’t shy away from discussing your past roles, especially in financial services or investment management. We’re keen to know how your background aligns with the challenges we face in building production-grade AI systems.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key achievements and experiences stand out without unnecessary fluff.
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 any important updates during the process!
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 and how you've tackled real-world challenges.
✨Showcase Your AI Product Experience
Prepare to discuss specific AI products you've shipped into production. Be ready to dive into the engineering challenges you faced, especially around scalability and reliability. This isn’t just theory; they want to know how you’ve applied your skills in a fast-paced environment.
✨Understand the Financial Services Landscape
If you have experience in financial services or investment management, make it a point to highlight it. They value candidates who understand the nuances of private markets and private equity, so be prepared to discuss how your background aligns with their needs.
✨Emphasise Ownership and Teamwork
This role is all about taking ownership and working alongside strong engineers. Share examples of how you’ve led projects or collaborated effectively in high-intensity environments. Show them you thrive under pressure and can contribute to a high-performing team.
