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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