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, 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 Portsmouth 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 Portsmouth
✨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. We love hearing about your hands-on experience and how you tackled engineering challenges.
✨Tip Number 3
Network like a pro! Connect with other engineers in the financial services sector and join relevant online communities. This can help you get insider tips and even referrals for roles that might not be advertised yet.
✨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 talented individuals who thrive in fast-paced environments like ours.
We think you need these skills to ace Full-Stack AI Engineer - Next.js & Python in Portsmouth
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, particularly 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 straightforward. We appreciate clarity and directness, so make sure your points are easy to understand and get straight to the heart of your experience and skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
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 these are crucial for the role. Brush up on your experience with Microsoft Azure and be ready to discuss how you've integrated LLMs and built RAG architectures in past projects.
✨Showcase Real-World Experience
Prepare to talk about specific AI products you've shipped into production. Highlight the engineering challenges you faced, especially around scalability and reliability, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills.
✨Understand the Financial Services Landscape
If you have experience in financial services or investment management, make sure to bring it up. Discuss how your background can add value to their team, especially in private markets or private equity environments. This knowledge could set you apart from other candidates.
✨Embrace the Fast-Paced Environment
This role is all about speed and execution, so be prepared to share examples of how you thrive in high-intensity situations. Talk about times when you took ownership of a project and delivered results quickly, showcasing your ability to work alongside strong engineers.
