AI-Driven - Full Stack Engineer

We are looking for hands-on Full Stack Engineers with a strong ownership mindset who thrive in fast-moving, high-impact environments. You will drive features end-to-end - across Angular/React frontends and Java/Node.js backends - while leveraging AI-driven development tooling to accelerate delivery and raise engineering quality. You will also build and integrate multi-agent AI workflows as part of Citizens' emerging AI/automation practice

Responsibilities

KEY RESPONSIBILITIES

• Design, build, and deliver end-to-end features across React/Angular frontends and Java/Node.js microservices, integrated with REST APIs and Kafka-based event streams.
• Own prompt structuring, validation, and refinement for AI-generated code - ensuring correctness, security compliance, and adherence to Citizens' engineering standards.
• Leverage AI coding agents (GitHub Copilot, Claude Code) by authoring customisations - agents, skills, hooks, MCP servers, and plugins - to accelerate development without sacrificing quality.
• Build multi-agent AI applications using Agent SDKs to orchestrate workflows where agents collaborate or hand off tasks to each other.
• Implement and champion test-driven development (TDD) across unit, integration, and contract testing layers using Jasmine/Jest/Karma.
• Contribute to and improve CI/CD pipelines (Jenkins, Azure DevOps, GitHub Actions) and cloud-native deployments on AWS/Azure using Docker and Kubernetes (AKS/EKS).
• Maintain observability standards - structured logging (ELK/Datadog), alerting (Prometheus/Grafana/AppDynamics), and performance profiling.
• Collaborate with product, design, and architecture teams to translate business goals into scalable, compliant technical solutions.
• Manage parallel workstreams and evolving requirements, ensuring incremental and continuous value delivery through agile practices.

Technical requirements

AI ENGINEERING REQUIREMENTS

• High proficiency using AI coding agents (GitHub Copilot, Claude Code) with a strong understanding of AI-driven and AI-managed coding workflows.
• Solid grounding in prompt engineering - structuring, iterating, and validating prompts for consistent, production-quality code generation.
• Hands-on experience designing and constructing AI coding agent customisations: agents, skills, hooks, MCP servers, and plugins.

CORE SKILLS & QUALIFICATIONS

Frontend

• React / Angular (micro-frontend architecture with single-spa / Module Federation)
• TypeScript, HTML5, CSS
• Unit testing: Jasmine, Karma, Jest

Backend & Integration

• Java (Spring Boot / Spring Cloud) - primary backend services
• Node.js - lightweight APIs and integration services
• RESTful APIs & microservices architecture

Preferred skills

Technology->Java->Core Java,Technology->Full stack->Java Full stack,Technology->AI-AI Engineering->AI/ML Solution Architecture and Design->generative ai,Technology->AI-Data science->PYTHON

Education

Bachelor of Engineering