3+ years of hands-on experience building AI agents for QA, testing, validation or software delivery use cases
Expertise in prompt engineering, including prompt design, evaluation and refinement
Capability to work with existing development boilerplates, templates and internal engineering standards
Understanding of QA processes and capabilities, including test case generation, defect analysis and regression support
Knowledge of validation workflows and quality gates
Skills in integrating agents into software development workflows
Competency in evaluating agent outputs for accuracy, consistency and reliability
Strong technical communication and presentation skills
Familiarity with modern application development environments and engineering practices
Background in .NET, React and Angular applications
Experience with LLM-based development assistants such as Claude Code, GitHub Copilot or similar tools
Understanding of agent evaluation, guardrails and human-in-the-loop review
Knowledge of prompt/version governance and reusable agent patterns for QA use cases
Experience working in enterprise environments with existing SDLC, QA and DevOps processes
Capability to quickly prototype while aligning with client standards and production-readiness expectations