Senior Full Stack Python Engineer - Agentic AI & Data Platforms

We are seeking an experienced Senior Full Stack Python Engineer to join a leading global investment bank, working on the development of intelligent Back End 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 Back End 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., * Design, develop and maintain Back End 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.

• 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 development experience using React.
• Experience with AG Grid and complex data-driven interfaces.
• Strong SQL skills, ideally with Oracle database experience.
• Experience designing and developing RESTful APIs.
• Understanding of distributed systems, microservices and event-driven architectures.
• Experience writing automated tests and delivering production-quality software.
• Strong communication skills and the ability to engage directly with business stakeholders.

Desirable Experience

• Previous experience within Investment Banking or Financial Services.
• Exposure to commodities markets, commodity indices or trading environments.
• Experience working with market data platforms or financial data systems.
• Familiarity with Docker, Kubernetes and CI/CD pipelines.
• Exposure to vector databases, embeddings and RAG architectures.
• Experience with cloud platforms, particularly AWS.
• Familiarity with monitoring and observability tools such as Grafana, Prometheus and ELK.