AI Application Developer

Your new company
My clients are looking for an AI Application Developer who can join their team on a 6-month contract basis. The role is remote working with the occasional travel into the office in London. The rate is £450 per day inside IR35. Someone with a banking background is key for this role.

Your new role
My clients are seeking an experienced AI Application Developer to design, build and deploy next-generation Agentic AI and Generative AI solutions for a large-scale financial services client. This role will focus on developing intelligent, context-aware applications that leverage Large Language Models (LLMs), AI agents and orchestration frameworks to deliver enhanced automation, decision-making and user experiences.Working as part of a high-performing engineering team, you will be responsible for developing AI-driven workflows, integrating diverse data sources, and building scalable cloud-native applications that combine modern AI capabilities with enterprise-grade software engineering practices.
Key Responsibilities

• 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 (RAG) pipelines to improve application accuracy, relevance and contextual awareness.
• Create advanced prompt engineering strategies and integrate Model Context Protocol (MCP) 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.

Required Skills & ExperienceAI / Generative AI

• Strong experience designing and deploying Agentic AI and Generative AI solutions.
• Hands-on experience with Large Language Models (LLMs) 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 (MCP) integrations.
• Experience with Transformer architectures and the Hugging Face ecosystem.

Software Development

• Strong backend development experience in one or more of:
  • Java
  • Python
  • Node.js
• Front-end development experience using:
  • React
  • TypeScript

Cloud & DevOps

• Experience deploying containerised applications using:
  • Kubernetes
  • OpenShift
• Strong understanding of cloud-native architecture principles.
• Experience working with CI/CD tools including:
  • GitHub Actions
  • Jenkins
  • Tekton

Data & Integration

• 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.

Desirable Skills

• 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.

What you need to do now
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