Job Summary
We are seeking an experienced Agentic AI Engineer to help develop a new AI-powered software testing framework. The role will focus on building agentic AI capabilities, workflows, and reusable enterprise frameworks that support testing across the software development lifecycle. The ideal candidate will have strong software engineering experience and hands-on knowledge of Agentic AI, agentic workflows, knowledge graphs, AI coding agents, and LLM-based applications.
Key Responsibilities
• Develop agentic AI workflows and applications.
• Contribute to the design and development of an AI-powered software testing framework.
• Build integrations between AI agents, testing tools, code repositories, and enterprise systems.
• Develop capabilities for automated test plan generation.
• Develop capabilities for automated test script generation.
• Support AI-powered unit testing, integration testing, and end-to-end testing.
• Contribute to performance testing capabilities within the AI-powered testing framework.
• Collaborate with architects and engineers to design, develop, test, and improve AI-enabled solutions.
• Contribute to proof-of-concept development and support the transition of successful solutions into production implementations.
• Help develop reusable AI capabilities and frameworks for enterprise software development and testing.
Required Qualifications
• 10+ years of software engineering or related professional experience.
• Strong experience with Agentic AI, including agentic workflows, knowledge graphs, AI coding agents, and LLM-based applications.
• Strong software development skills.
• Experience designing, developing, and integrating software solutions in complex technical environments.
• Ability to work effectively as part of a collaborative, hands-on engineering team.
• Strong analytical, problem-solving, and technical communication skills.
Preferred Qualifications
• Experience with software testing or test automation.
• Experience developing AI-powered applications or enterprise software solutions.
• Experience working with complex software development environments.
• Experience contributing to AI-focused proof-of-concept initiatives and production implementations.