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 culture.
- Benefits: Competitive salary, professional growth opportunities, and international exposure.
- Other info: Join a diverse team and enjoy excellent career growth in a fast-paced environment.
- Why this job: Make a real impact by shaping the future of AI in trading technology.
- Qualifications: 3+ years in software engineering or AI development, proficient in Python and SQL.
The predicted salary is between 60000 - 80000 £ per year.
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 Automation Engineer – Enterprise Workflows employer: Finalto
Finalto is an exceptional employer that champions innovation and operational excellence within the dynamic financial services sector. With a strong commitment to employee growth, we offer opportunities for professional development and international exposure, all while fostering a collaborative and inclusive work culture. As part of our team, you'll have the chance to make a tangible impact on the future of trading technology in a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land AI Automation Engineer – Enterprise Workflows
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals 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 and automation solutions. This is your chance to demonstrate your passion and expertise, so make it shine!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI and automation. Think about how your past experiences align with the role at Finalto, and be ready to discuss them confidently.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace AI Automation Engineer – Enterprise Workflows
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Automation Engineer role. Highlight your experience with AI workflows, Python, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Projects:If you've got a portfolio of AI or automation projects, flaunt it! Include links to your GitHub or any other platforms where we can see your work. This gives us a real sense of your capabilities and passion for the field.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how you can contribute to our team. Be genuine and let your personality come through – we love to see enthusiasm!
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. Plus, it shows you’re serious about joining our dynamic 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 specific projects you've worked on, 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 their efficiency and growth, and be prepared to share ideas on potential AI applications during the interview.
✨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 when asked about your experience.
✨Communicate Clearly
Since you'll be working with non-technical stakeholders, practice explaining complex concepts in simple terms. During the interview, focus on clear communication and collaboration, as these are key values at Finalto.
