At a Glance
- Tasks: Design and build AI workflows that transform business processes and boost efficiency.
- Company: Finalto, a global leader in trading technology solutions with a dynamic team.
- Benefits: Competitive salary, professional growth opportunities, and international exposure.
- Other info: Join a diverse team in a fast-paced environment with excellent career growth.
- Why this job: Make a real impact by shaping the future of trading technology and automation.
- Qualifications: 3+ years in software engineering or AI development, proficient in Python and SQL.
The predicted salary is between 60000 - 80000 € per year.
About Us
Finalto is a global leader in liquidity provision and trading technology solutions, serving institutional and B2B clients across financial markets worldwide. With regulated entities in the UK, Singapore, Cyprus, Australia, and the UAE, and additional operational teams in Denmark and Bulgaria, we combine international reach with local expertise. Our business spans multi-asset liquidity, risk management, and cutting-edge trading platforms, supporting clients in achieving more efficient and sustainable growth. At the core of our success is our commitment to innovation, operational excellence, and robust governance. As part of a global financial services group, Finalto combines the scale and stability of an established organisation with the agility of a fintech innovator. We are driven by collaboration, integrity, and performance. Joining Finalto means becoming part of a diverse and dynamic team where your contributions have real impact. We invest in our people, offering opportunities for professional growth, international exposure, and the chance to shape the future of trading technology and liquidity solutions.
Role Description
As an AI Developer at Finalto, you will build the automation layer that transforms how we work. You'll design and ship AI workflows that replace manual processes across the business — delivering faster execution, lower costs, and new capabilities. This is a high-ownership role with real visibility and impact. You'll take solutions from concept to production in weeks, not months. You'll also work directly with teams across the org to co-design solutions that stick, raising AI fluency as you go.
Key Responsibilities
- Design and build AI-powered workflows that remove friction and boost efficiency across the business (e.g. document processing, bank statement parsing, news summarisation)
- Develop LLM-based applications using RAG, prompt engineering, and fine-tuning where it drives measurable gains
- Manage AI infrastructure and tool integrations (API gateways, MCPs, external services) with appropriate governance and access controls
- Design data pipelines and system architecture to support AI workflows at scale, working with databases and vector search solutions
- Gather requirements, understand pain points, and co-design solutions with business teams to translate operational problems into technical implementations
- Deploy solutions within enterprise environments (Azure, AWS, Databricks), with occasional ownership of monitoring and iteration
- Maintain code quality through testing, version control and CI/CD practices
Requirements
- 3+ years in software engineering or AI application development, with shipped production projects
- Proficiency in Python and SQL
- Experience building LLM-based applications (e.g. OpenAI, Azure OpenAI, LangChain, etc.)
- Experience designing and building end-to-end projects, ideally with personal AI projects that demonstrate passion for the space
- Strong problem-solving ability with a focus on real-world applications
- Experience with API integrations and building systems that connect multiple services
- Good communication skills and ability to work with non-technical stakeholders
Desired Skills
- Experience with RAG architectures and vector databases (e.g. Pinecone, FAISS, Azure AI Search)
- Experience deploying applications on Azure
- Understanding of CI/CD and software engineering best practices
- Experience building workflow automation systems
- Familiarity with Databricks
- Exposure to financial services or trading environments
Preferred Qualifications
- Degree in STEM or related
- Demonstrated portfolio of AI or automation projects – We would love to see your Github
- Experience working in a fast-paced, delivery-focused environment
AI Developer in City of London employer: Finalto
Finalto is an exceptional employer that champions innovation and collaboration, offering AI Developers the chance to make a tangible impact in the fast-paced world of trading technology. With a commitment to professional growth and international exposure, employees benefit from a dynamic work culture that values integrity and performance, all while working in a global environment that combines the stability of an established organisation with the agility of a fintech innovator.
StudySmarter Expert Advice🤫
We think this is how you could land AI Developer in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. 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 that demonstrate your problem-solving abilities. A strong GitHub profile can really make you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios related to AI development. Mock interviews with friends or using online platforms can help you feel more confident and ready to impress.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Finalto.
We think you need these skills to ace AI Developer in City of London
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! Share any personal projects or experiences that highlight your skills and passion for the field. We love seeing candidates who are genuinely excited about what they do.
Tailor Your Application:Make sure to customise your application to fit the role of AI Developer at Finalto. Highlight relevant experience, especially with LLM-based applications and automation systems. We want to see how your background aligns with our needs!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your skills and experiences, and avoid jargon unless it's relevant. We appreciate clarity and want to understand your qualifications without any confusion.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Finalto!
How to prepare for a job interview at Finalto
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI workflows and LLM-based applications. Be ready to discuss your past projects, especially those that showcase your skills in Python and SQL. Having a solid understanding of how to design and build AI-powered solutions will definitely impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to talk about real-world problems you've solved using AI. Think of specific examples where you gathered requirements, understood pain points, and co-designed solutions. This will demonstrate your ability to translate operational challenges into technical implementations, which is key for the role.
✨Familiarise Yourself with Their Tech Stack
Since Finalto works with Azure, AWS, and Databricks, it’s a good idea to get comfortable with these platforms. If you have experience deploying applications or managing AI infrastructure, be sure to highlight that. Showing that you can hit the ground running with their tech stack will give you an edge.
✨Communicate Effectively
Remember, you'll be working with non-technical stakeholders, so practice explaining complex concepts in simple terms. Good communication is crucial, so think about how you can convey your ideas clearly and concisely during the interview. This will show that you're not just a tech whiz, but also a team player.
