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Infosys
Experience / Eligibility
B.E / B.Tech / BCA / MCA / Any Graduate
Salary
Not Disclosed / As per Industry Standards
Location
Bangalore, Karnataka, India
Suitable For
College graduates, entry-level candidates, and students matching: B.E / B.Tech / BCA / MCA / Any Graduate.
Key Skills to Prepare
Focus on Java, JavaScript, TypeScript, React.
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 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/App Dynamics), 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.
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