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For Companies At a Glance
- Tasks: Design and build AI workflows that transform business processes and boost efficiency.
- Company: Finalto, a global leader in trading technology and liquidity solutions.
- Benefits: Competitive salary, professional growth opportunities, and international exposure.
- Other info: Join a diverse team in a dynamic environment with excellent career growth potential.
- Why this job: Make a real impact by shaping the future of trading technology with cutting-edge AI.
- Qualifications: 3+ years in software engineering or AI development, proficiency 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 employer: Finalto
Contact Detail:
Finalto Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Developer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Finalto. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that demonstrate your problem-solving abilities. Make sure to include links to your GitHub so we can see your work in action.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and understanding of AI applications. We love candidates who can discuss their thought process and how they tackle real-world problems.
✨Tip Number 4
Don’t forget to 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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Developer role. Highlight your experience with Python, SQL, and any LLM-based applications you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include a portfolio of your AI or automation projects, especially those that demonstrate your passion for the field. If you have a GitHub account, link it! We love seeing real-world applications of your skills.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're excited about the role and how you can contribute to our team. Be genuine and let your personality shine through – we value collaboration and integrity!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to see what you bring to the table!
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 problem-solving skills and technical expertise in Python and SQL.
✨Understand the Business
Familiarise yourself with Finalto's operations and how AI can enhance their trading technology solutions. Think about how your skills can directly impact efficiency and innovation within the company.
✨Showcase Your Projects
Bring along a portfolio of your work, especially any personal AI projects or contributions on GitHub. This will not only demonstrate your passion for AI but also give you concrete examples to discuss during the interview.
✨Communicate Clearly
Since you'll be working with non-technical stakeholders, practice explaining complex concepts in simple terms. Good communication is key, so be prepared to articulate your ideas and solutions effectively.