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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Developer - **Company:** Finalto - **Location:** Greater London, UK - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software Quality, Databases, Continuous Integration, Github, Python (Programming Language), Search Technologies, Software Construction, Software Deployment, Software Engineering, SQL Databases, Systems Architecture, AI Infrastructure, Large Language Models, Prompt Engineering, Generative AI, Build Management, Api Gateway, Software Version Control, Data Pipelines, Automation Anywhere, Api Management, Databricks - **Published:** September 10, 2026 - **Apply:** https://www.collegerecruiter.com/job/2859586335-ai-developer ## About the Role * 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. ## 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. ## Related Videos - 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