JD 1. Agentic SDLC Design - Architect and implement end-to-end AI-augmented SDLC pipelines using autonomous agents and sub-agents that handle tasks spanning requirements analysis, code generation, review, testing, and deployment. 2. GitHub Copilot Agent Engineering - Design, configure, and extend GitHub Copilot agents, custom skills, and agent instructions to automate repetitive engineering tasks, enforce coding standards, and accelerate developer productivity across teams. 3. Multi-Agent Orchestration - Build and manage multi-agent systems with clearly defined agent roles, skills, and handoff protocols - including planner agents, coder agents, reviewer agents, and test agents - ensuring reliable and deterministic outcomes. 4. AI-Driven Code Quality & Governance - Integrate AI agents with static analysis, linting, and security scanning tools (e.g., SonarQube, CodeRabbit) to enforce quality gates, detect vulnerabilities, and provide real-time feedback within CI/CD pipelines. 5. Automated Testing with AI Agents - Leverage AI agents to auto-generate unit tests, integration tests, BDD scenarios (Gherkin/Cucumber), and test data - continuously improving test coverage with minimal manual effort. 6. Prompt Engineering & Skill Development - Design reusable, parameterised prompts and agent skills