AI Application Developer
Summary
Designing and deploying Agentic AI and Generative AI solutions using LangChain, LangGraph, RAG architectures, and LLM orchestration frameworks in London.
Salary: £? - ? per year
Requirements:- Strong experience designing and deploying Agentic AI and Generative AI solutions
- Hands-on experience with Large Language Models and AI orchestration frameworks
- Expertise in LangChain, LangGraph, CrewAI or similar agent frameworks
- Strong understanding of RAG architectures, vector databases and contextual retrieval strategies
- Experience implementing advanced prompt engineering techniques
- Knowledge of Model Context Protocol integrations
- Experience with Transformer architectures and the Hugging Face ecosystem
- Strong backend development experience in one or more of Java, Python or Node.js
- Front-end development experience using React and TypeScript
- Experience deploying containerised applications using Kubernetes or OpenShift
- Strong understanding of cloud-native architecture principles
- Experience working with CI/CD tools including GitHub Actions, Jenkins or Tekton
- Experience developing multi-source data ingestion pipelines
- Understanding of event-driven architectures and intelligent automation solutions
- Ability to integrate structured and unstructured data sources into AI-powered applications
- Experience delivering AI solutions within highly regulated environments
- Financial Services or Banking sector experience
- Knowledge of enterprise integration patterns and event-streaming technologies
- Experience working in Agile delivery teams
- Design, develop and deploy Agentic AI and Generative AI applications using modern LLM technologies
- Build AI agent ecosystems leveraging frameworks such as LangChain, LangGraph and CrewAI
- Develop and implement Retrieval-Augmented Generation pipelines to improve application accuracy, relevance and contextual awareness
- Create advanced prompt engineering strategies and integrate Model Context Protocol capabilities
- Develop intelligent workflow solutions including context-aware and ambient intelligence applications
- Integrate and process data from multiple internal and external sources
- Design and implement event-detection algorithms and real-time intelligence capabilities
- Build scalable backend services and APIs supporting AI-powered applications
- Develop modern user interfaces and web applications to support AI-driven solutions
- Collaborate with architects, product teams and stakeholders to define technical solutions and delivery roadmaps
- Ensure solutions are deployed using enterprise-grade CI/CD and cloud-native engineering practices
- Agentic AI
- AI
- Backend
- CI/CD
- Cloud
- GitHub
- Support
- Java
- Jenkins
- Kubernetes
- LLM
- OpenShift
- Python
- RAG
- React
- TypeScript
- Web
- NodeJS
- AI Agents
- DevOps
- MCP
More:
We are recruiting for an AI Application Developer to join a high-performing engineering team on a 6-month contract basis, working remotely with occasional travel into our London office. The role is for a large-scale financial services client and is paid at a rate of £450 per day inside IR35. We are looking for someone with banking background experience to help deliver next-generation Agentic AI and Generative AI solutions in a regulated environment.
last updated 34 week of 2026