Full Stack Engineer

Our client is a Financial Services organisation seeking an experienced Full Stack Developer to join their internal technology function. The role will focus on designing, building, and supporting enterprise-grade applications, APIs, AI-driven services, and digital platforms across Microsoft Azure and modern web technologies.

This is a hands-on engineering role suited to someone who is comfortable working across front-end and back-end development, cloud-native services, integrations, DevOps, and emerging Agentic AI solutions within a regulated environment.

The role is Hybrid and requires onsite attendance in Central London 2–3 days per week.

Technical Skills

• C#, ASP.NET Core, Entity Framework
• Python, FastAPI
• JavaScript, TypeScript
• React or Angular
• REST APIs, Swagger/OpenAPI
• SQL Server, PostgreSQL, NoSQL and vector databases
• Azure App Services, Azure Functions, API Management
• Docker, Kubernetes (AKS)
• Azure DevOps, Git repositories, CI/CD pipelines
• Power Platform exposure beneficial (Power Apps, Power Automate, Power BI)
• Authentication and security including OAuth2 and JWT
• Unit testing and automated testing frameworks
• Experience integrating AI and LLM services including OpenAI, Claude, Gemini, or Azure AI
• Experience building Agentic AI workflows, orchestration frameworks, AI copilots, or autonomous process automation solutions
• Knowledge of AI-driven APIs, semantic search, RAG architectures, and vector database integrations
• Azure certifications such as AZ-900, AZ-204, or AI-900 would be advantageous

Key Responsibilities

• Design, develop, and maintain scalable full stack applications across cloud and web technologies
• Build responsive front-end applications using modern JavaScript frameworks such as React or Angular
• Develop secure and scalable back-end services, APIs, and integrations using .NET, Python, and Azure services
• Design and implement AI-powered solutions including Agentic AI workflows, copilots, and intelligent automation services
• Integrate Large Language Models (LLMs), AI APIs, and orchestration frameworks into enterprise applications and business processes
• Work closely with business stakeholders, analysts, and technical teams to gather requirements and translate them into technical solutions
• Deliver end-to-end technical solutions covering application development, automation, reporting, and data integration
• Support architecture design, technical documentation, and solution governance including HLDs and LLDs
• Implement CI/CD pipelines, automated testing, and deployment processes through Azure DevOps
• Ensure applications meet security, compliance, performance, and operational standards
• Troubleshoot production issues, manage incident resolution, and support continuous improvement initiatives
• Collaborate with infrastructure, data, and project delivery teams to ensure successful implementation of technical change
• Contribute to technical best practices, coding standards, and modern engineering approaches across the technology estate
• Follow ITIL-aligned processes for change, release, incident, and problem management

Required Experience

• Strong commercial experience as a Full Stack Developer or Full Stack Engineer within Financial Services, Investment Management, Banking, or other regulated environments
• Proven experience delivering modern cloud-native applications using Microsoft Azure
• Strong front-end development experience with React, Angular, JavaScript, and TypeScript
• Strong back-end development experience with ASP.NET Core, Python, REST APIs, and microservices architecture
• Experience building and integrating enterprise APIs and third-party services
• Experience working with both relational and non-relational databases
• Experience integrating AI and automation capabilities into enterprise applications
• Knowledge of DevOps principles including CI/CD, automated deployments, and infrastructure automation
• Experience working within Agile delivery environments
• Understanding of Agentic AI concepts, AI orchestration, and LLM-driven application design
• Strong communication and stakeholder management skills
• Ability to manage multiple workstreams and deliver in a fast-paced environment

Desirable Experience

• Experience within investment platforms or financial reporting systems
• Exposure to data engineering or analytics platforms
• Experience supporting production cloud environments
• Knowledge of event-driven or distributed architecture patterns
• Experience integrating low-code and pro-code solutions within enterprise platforms
• Exposure to AI governance, AI security, or responsible AI frameworks

Aimtech Recruitment is acting as an employment agency in relation to this vacancy. All applications will be reviewed based on merit, relevant experience, and suitability for the role. By applying, you consent to the processing of your personal data in accordance with our privacy policy and applicable data protection laws. We do not discriminate on the basis of age, gender, disability, race, religion, sexual orientation, or any other protected characteristic. If you require any adjustments during the recruitment process, please let us know.