Senior Full Stack Python Engineer - Agentic AI & Data Platforms

Senior Full Stack Python Engineer - Agentic AI & Data Platforms Location: London (Hybrid - 3 days per week onsite) Day Rate: Up to £900 per day Contract Type: Contract IR35 Status: Inside IR35 Client: Leading Global Investment Bank CV Submission Deadline: Within 48 hours The Opportunity We are seeking an experienced Senior Full Stack Python Engineer to join a leading global investment bank, working on the development of intelligent backend systems, agentic AI capabilities and modern enterprise data platforms.

This is an exciting opportunity for a hands-on engineer to work at the intersection of Python engineering, distributed systems, Generative AI and full-stack development. You will be responsible for designing and delivering production-grade backend services, asynchronous processing pipelines, MCP (Model Context Protocol) servers and AI-driven workflows, alongside modern React-based front-end applications.

You will also work closely with business stakeholders, product owners and technical teams to translate complex business requirements into scalable technology solutions. Key Responsibilities Design, develop and maintain backend services using Python.

Build asynchronous task-processing pipelines using Celery, Redis, Celery Beat and Flower. Develop MCP servers and tools to expose internal APIs, databases and enterprise systems to AI agents. Implement agentic AI workflows using LangChain and/or LangGraph.

Build modern, responsive front-end applications using React. Develop complex data visualisation interfaces using AG Grid. Design and optimise SQL queries and work with Oracle databases. Develop and maintain RESTful APIs and enterprise integrations.

Contribute to architectural decisions around scalability, resilience and distributed systems. Work directly with business users and stakeholders to understand requirements and deliver technical solutions. Take ownership of features throughout the development lifecycle, from initial design through to production deployment.

Essential Skills & Experience Strong commercial experience developing applications using Python (5+ years) . Hands-on experience with asynchronous programming and distributed task processing. Practical experience with Celery, Redis, Celery Beat and Flower .

Experience building MCP (Model Context Protocol) servers and tools . Experience implementing agentic AI workflows using LangChain and/or LangGraph . Strong front-end de...

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