I
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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