AI Developer
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Role details
Tech stack
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Job description
- Design and build AI-powered workflows that remove friction and improve efficiency across the business, including solutions for document processing, bank statement parsing, and news summarisation.
- Develop LLM-based applications using Retrieval-Augmented Generation (RAG), prompt engineering, and fine-tuning where it delivers measurable improvements.
- Manage AI infrastructure and tool integrations, including API gateways, Model Context Protocols (MCPs), and 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 operational pain points, and co-design solutions with business teams, translating business problems into technical implementations.
- Deploy solutions within enterprise environments such as Azure, AWS, and Databricks, with occasional responsibility for monitoring, iteration, and continuous improvement.
- Maintain code quality through testing, version control, and CI/CD practices.
Requirements
- 3+ years’ experience in Software Engineering or AI Application Development, with experience delivering production projects.
- Proficiency in Python and SQL.
- Experience building LLM-based applications using technologies such as OpenAI, Azure OpenAI, LangChain, or similar platforms and frameworks.
- Experience designing and building end-to-end software or AI projects.
- Strong problem-solving ability with a focus on practical, real-world applications.
- Experience with API integrations and building systems that connect multiple services.
- Good communication skills and the ability to work effectively with non-technical stakeholders., * Experience with RAG architectures and vector databases such as Pinecone, FAISS, or 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, FinTech or Trading environments.
- A degree in STEM or a related discipline.
- Demonstrated AI or automation projects, including personal projects, open-source contributions, or a public GitHub portfolio.
- Experience working in a fast-paced, delivery-focused environment.
Benefits & conditions
- The opportunity to build AI solutions that deliver visible and measurable impact across the business.
- Ownership of solutions from initial concept through to production.
- Exposure to a range of business functions, operational challenges, and enterprise technology environments.
- The opportunity to work with modern AI technologies and develop practical applications that improve how the organisation operates.
- A collaborative, international working environment.
- Competitive salary and benefits package.
- Long-term career development within Finalto’s AI Innovation team.
At Finalto, we’re building an environment where talented people can do their best work, grow their careers, and help shape the future of financial technology. We’d love to hear from you. #J-18808-Ljbffr
About the company
We are looking for an experienced AI Developer to join Finalto’s AI Innovation team and help build the automation layer that transforms how we work.
You will design and deliver AI-powered workflows that replace manual processes across the business, enabling faster execution, lower costs, and new capabilities.
This is a high-ownership role with real visibility and impact. You will take solutions from concept to production in weeks rather than months. You will also work directly with teams across the organisation to understand their challenges, co-design practical solutions, and help raise AI fluency across the business.
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