AI-Driven - Full Stack Engineer

Infosys; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Infosys Bengaluru seeks engineers with deep AI coding agent experience to design and deliver full-stack solutions across React/Angular frontends and Java/Node.js microservices, integrated via REST and Kafka.

You will own prompt structuring, validation, and refining AI-generated code, champion TDD, and contribute to CI/CD pipelines on AWS/Azure with Docker/Kubernetes. Collaborate with product, design, and architecture teams to translate business goals into scalable, compliant technical solutions.

Qualifications

• Experience designing AI-powered coding workflows and agents.
• Strong grounding in prompt engineering and validation of AI-generated code.
• Hands-on experience with micro-frontend architectures and end-to-end features across React/Angular frontends and Java/Node.js microservices.

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 engineering standards.
• Leverage AI coding agents by authoring customisations — agents, skills, hooks, MCP servers, and plugins — to accelerate development while maintaining quality.
• Build multi-agent AI applications using Agent SDKs to orchestrate workflows with agent collaboration or hand-offs.

Skills

AI coding agents

Prompt engineering

Frontend development

Multi-agent orchestration

Test-driven development

Agile methodologies

Collaboration with product/design/arch

Cloud-native deployments

Tools

React

Angular

TypeScript

HTML5

CSS

Java

Spring Boot

Spring Cloud

Node.js

REST APIs

Kafka

Docker

Kubernetes

Jenkins

Azure DevOps

GitHub Actions

AWS

ELK

Datadog

Prometheus

Grafana

Job description

• 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
• Java (Spring Boot / Spring Cloud) — primary backend services
• Node.js — lightweight APIs and integration services
• 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.