AI-Driven - Full Stack Engineer

Job DescriptionWe 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
Roles ResponsibilitiesKEY 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 RequirementAI 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
Educational RequirementBachelor of Engineering
Preferred SkillsTechnology->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
Service LineApplication Development and Maintenance