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AI-Driven - Full Stack Engineer

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Onsite

AI-Driven - Full Stack Engineer

Infosys

AI-Driven - Full Stack Engineer

Skills

DockerReactNodeTypescriptJavaMicroservicesHTMLSpring BootKafkaJenkinsDatadogGrafanaAIAWSPrometheusGitHubKubernetesAppDynamicsComplianceAzure

13 days ago

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Important information


Contract type:

Permanent

Location:

India

Work mode:

Onsite

Published on:

9 October 2026

What they need


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/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.

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