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- Tasks: Transform AI proof-of-concepts into scalable solutions for investment teams.
- Company: Leading European private credit manager with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a cutting-edge team and make a real impact in the finance sector.
- Qualifications: Strong experience in C# and/or Python, plus cloud platform expertise.
- Other info: Dynamic role in Central London with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading European private credit manager is seeking an experienced AI Engineer for a hybrid role in Central London. This position focuses on transforming AI proof‑of‑concepts into scalable solutions, serving as a bridge between investment teams and technology.
Key responsibilities include:
- Developing and fine-tuning LLM-based solutions
- Integrating AI applications
Candidates must have strong experience with C# and/or Python, along with cloud platform and LLM integration experience.
Generative AI Engineer — Productionise POCs for Investments in London employer: Orbis Group
Contact Detail:
Orbis Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Generative AI Engineer — Productionise POCs for Investments in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and cloud platforms. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to C# and Python. Practice explaining your past projects and how you've transformed POCs into scalable solutions. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Generative AI Engineer — Productionise POCs for Investments in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C# and Python, as well as any cloud platform work you've done. We want to see how your skills align with the role of transforming AI proof-of-concepts into scalable solutions.
Showcase Your Projects: Include specific examples of projects where you've developed or fine-tuned LLM-based solutions. This will help us understand your hands-on experience and how you can bridge the gap between investment teams and technology.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about AI and how your background makes you a great fit for this hybrid role. We love seeing enthusiasm and a clear connection to our mission.
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 from our team!
How to prepare for a job interview at Orbis Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in C# and Python, as these are crucial for the role. Brush up on your coding skills and be ready to discuss specific projects where you've used these languages, especially in relation to AI and LLMs.
✨Showcase Your POC Experience
Prepare to talk about your experience with proof-of-concepts (POCs). Be ready to explain how you transformed these POCs into scalable solutions and the impact they had on previous projects. This will demonstrate your ability to bridge the gap between investment teams and technology.
✨Familiarise Yourself with Cloud Platforms
Since cloud platform integration is key, make sure you understand the platforms you’ve worked with. Be prepared to discuss how you’ve deployed AI applications in the cloud and any challenges you faced during the process.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI and how they envision the role of a Generative AI Engineer. This shows your genuine interest and helps you assess if the company is the right fit for you.