AI Engineer

Design and orchestrate specialized AI agents for automated test case, script, and data generation and test execution agents

Develop LLM-powered assistants for test execution insights and defect analysis

Build conversational chatbots for real-time guidance and natural-language test transactions

Implement self-healing automation and RAG solutions using test logs and requirements

Integrate AI capabilities into CI/CD pipelines and React-based quality dashboards

Collaborate with cross-functional teams to enable AI-assisted, left-shift quality practices

Build autonomous and workflow-based agents using CrewAI or similar agentic frameworks, and support agentic AI platforms

Implement prompt engineering best practices to minimize token usage and improve output accuracy; contribute to a centralized prompt library

Document processes, models, and code to ensure maintainability and reproducibility

Collaborate with quality teams and product management teams to translate requirements into effective technical solutions

Contribute to GenAI projects from ideation through deployment, iteration, and evaluation of LLM performance

Assess building vs. buying the relevant tool and adopt the right tooling for the team

Mentor junior team members and be responsible for delivering hands-on delivery along with leading the AI development team

Build AI evaluation tools to certify the accuracy, performance, and fact checks

Communicate to the broader team well and drive the adoption strategies

• Communicate clear statistics weekly to all stakeholders