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 and Professional Requirements :

AI 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

Preferred Skills :

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

Educational Requirements :

Bachelor of Engineering

Service Line :

Application Development and Maintenance

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