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
• React or Angular
• SQL Server, PostgreSQL, NoSQL and vector databases
• 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
• 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
• 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
• 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

We do not discriminate on the basis of age, gender, disability, race, religion, sexual orientation, or any other protected characteristic.

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