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# AI Developer

- **Company:** finalto
- **Location:** London, UK
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Software Quality, Databases, Continuous Integration, Github, Python (Programming Language), Standard Sql, Search Technologies, Software Construction, Software Deployment, Software Engineering, Systems Architecture, AI Infrastructure, Large Language Models, Prompt Engineering, Build Management, Api Gateway, Software Version Control, Data Pipelines, Automation Anywhere, Api Management, Databricks
- **Published:** May 17, 2026
- **Apply:** https://find.jobs/jobs-near-me/ai-developer-london/2774073871-2/

## About the Role

* 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, * 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

## Description

* 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


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