Description

Architect and implement end-to-end AI-augmented SDLC pipelines using autonomous agents to automate requirements, code generation, testing, and deployment.

This role is remote.

Responsibilities

• Design, configure, and extend GitHub Copilot agents, custom skills, and instructions to enforce coding standards and accelerate developer productivity.
• Build and manage multi-agent systems with defined roles (planner, coder, reviewer, tester) and handoff protocols for deterministic outcomes.
• Integrate AI agents with static analysis, linting, and security scanning tools (e.g., SonarQube, CodeRabbit) to enforce quality gates within CI/CD pipelines.
• Leverage AI agents to auto-generate unit tests, integration tests, BDD scenarios, and test data to continuously improve coverage.
• Define and enforce AI-assisted development standards including prompt governance, agent observability, output validation, and hallucination mitigation.

Required Skills

• 10+ years of software engineering experience with a strong background in Java/Spring, Python, or Node.js.
• Hands-on experience with GitHub Copilot, Copilot Chat, and Copilot Extensions/Agents.
• Proficiency in building multi-agent systems using frameworks such as LangGraph, AutoGen, or CrewAI.
• Experience with CI/CD pipelines, DevSecOps tooling, and quality engineering practices.
• Strong understanding of SDLC governance, testing standards, and code quality practices.
• Proficiency in prompt engineering, RAG patterns, and LLM-based tooling.

Preferred Skills

• Experience embedding agentic AI capabilities into internal developer platforms (IDPs) and self-service toolchains.
• Ability to generate architecture diagrams, ADRs, and API contracts using AI agents.

Key Skills

Education

Any Graduate