Job highlights

- Bachelor of Engineering with expertise in AI coding agents, prompt engineering, React/Angular, Java Spring Boot, and Node.js
- Design and deliver full stack features, build AI-driven workflows, implement TDD, enhance CI/CD pipelines, and ensure observability standards

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 robust 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

📌 AI-Driven - Full Stack Engineer (Bengaluru)
🏢 Infosys
📍 Bengaluru