At a Glance
- Tasks: Build and improve AI features using Python in a dynamic fintech environment.
- Company: Join a growing fintech scale-up focused on innovative AI solutions.
- Benefits: Competitive salary, remote work, and opportunities for professional growth.
- Other info: Collaborative DevOps culture with a focus on security and responsible AI use.
- Why this job: Make a real impact by developing AI that enhances customer experiences.
- Qualifications: Strong Python skills and a passion for practical AI applications.
The predicted salary is between 60000 - 65000 € per year.
Salary: up to £65,000
Remote Type: Permanent
Ideal for someone with 2-3 years experience. I’m working with a growing fintech/scale-up that is building AI into a customer-facing product used within the affordability and financial services space. They already have an AI virtual assistant within the platform, but until now a lot of the specialist AI work has sat with an external partner. They’ve reached the point where they want to start bringing that capability in-house and are looking for someone who can help them build on what is already there. This is not a role for someone who wants to train their own LLM from scratch. It is more about taking existing LLMs and AI services, understanding how to use them properly, and building useful product features around them.
The business is fairly open-minded on level. You might be a graduate with a year or two of experience, a Python developer who has started moving into AI, a Machine Learning Engineer, or a Data Scientist with stronger engineering habits. They are not expecting someone to have ten years of LLM experience, because realistically very few people do. What they do need is someone bright, practical and genuinely interested in building AI that works in the real world.
You’ll be working on the AI side of a product that helps users complete income and expenditure journeys. In simple terms, the customer can either fill in the form themselves, or interact with the virtual assistant, which helps capture and complete the information for them. That means the AI work has to fit into a wider software product. It needs to connect with the front end, work safely, be tested properly, and be built with security in mind from the start.
The role will involve:
- Building and improving AI/LLM features using Python
- Creating quick proof of concepts to test ideas
- Taking the right ideas further into production
- Working with existing LLMs, APIs and AI services
- Thinking about guardrails, safety, hallucination risk and validation
- Building software in a secure way, particularly given the regulated nature of the product
- Supporting automated testing rather than treating testing as an afterthought
- Working in a DevOps environment where builds, releases and deployments are automated
- Understanding how the AI module fits into the wider product and customer journey
The key things they are looking for are:
- Strong Python skills
- A good general understanding of LLMs
- Some exposure to GenAI, chatbots, NLP, RAG, prompt engineering or similar
- An interest in AI guardrails and responsible use of AI
- Good software engineering principles
- Awareness of security in modern development
- A willingness to test properly and automate where possible
- Some understanding of cloud platforms Azure would be ideal, but AWS or GCP is fine
- The ability to learn quickly and work out the right way to use new technologies
It would also be useful if you had experience with JavaScript, deep learning, LangChain, LlamaIndex, Azure OpenAI, OpenAI APIs or similar tools, but none of these are absolute requirements. The most important thing is mindset. They want someone who can build, test, learn quickly, and stay focused on why the feature is being built in the first place.
Artificial Intelligence Engineer employer: SF Technology Partners
Join a dynamic fintech scale-up that prioritises innovation and employee growth, offering a collaborative remote work environment. With a focus on integrating AI into customer-facing products, you'll have the opportunity to develop practical solutions while working alongside a passionate team dedicated to responsible AI use. Enjoy competitive salary packages, flexible working arrangements, and the chance to make a meaningful impact in the financial services space.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the fintech and AI space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those using Python and LLMs. This will give potential employers a taste of what you can do and how you think.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI guardrails and responsible AI use. Be ready to discuss how you would approach building secure and effective AI features in a product.
✨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.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the AI Engineer role. Highlight your Python expertise, any work with LLMs, and your understanding of AI guardrails. We want to see how you fit into our vision!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for AI and how your background aligns with our needs. Let us know why you're excited about building AI that works in the real world and how you can contribute to our team.
Showcase Relevant Projects:If you've worked on any projects involving AI, LLMs, or Python, make sure to mention them! We love seeing practical examples of your work, especially if they relate to customer-facing products or financial services.
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 you’re keen to join the StudySmarter family!
How to prepare for a job interview at SF Technology Partners
✨Know Your AI Basics
Make sure you brush up on your understanding of LLMs and how they fit into the product. Be ready to discuss your experience with Python and any relevant AI technologies, like chatbots or NLP. This will show that you’re not just a coder but someone who understands the bigger picture.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific projects where you've built or improved AI features. Think about how you approached challenges, especially around safety and validation. This is your chance to demonstrate your practical mindset and how you can contribute to building AI that works in the real world.
✨Emphasise Security Awareness
Given the regulated nature of the product, it’s crucial to highlight your understanding of security in software development. Be ready to discuss how you’ve implemented security measures in past projects and your thoughts on AI guardrails. This will show that you take responsible AI use seriously.
✨Be Ready to Learn and Adapt
The company values quick learners who can adapt to new technologies. Share examples of how you’ve quickly picked up new skills or tools in the past. This will demonstrate your willingness to grow and your ability to keep pace with the fast-evolving AI landscape.
