AIML Developer

Role Overview: As a GEN AI Engineer, you will be responsible for designing and building autonomous agents to support various phases of STLC, integrating agents with CI/CD pipelines and test management platforms, collaborating with QA and engineering teams to identify automation opportunities, and ensuring responsible AI practices. Key Responsibilities: - Design and build autonomous agents to support various phases of STLC including test planning, test case generation, execution, defect triaging, and reporting. - Demonstrate hands-on expertise in Google Cloud Platform (GCP) services Google ADK, with a strong focus on Vertex AI, Agent-based architectures (e.g., Agent Engine), and scalable cloud-native deployment models. - Fine-tune and optimize LLMs for domain-specific tasks in software testing. - Integrate agents with CI/CD pipelines and test management platforms. - Collaborate with QA and engineering teams to identify automation opportunities and improve test coverage and efficiency. - Ensure responsible AI practices, including bias mitigation, explainability, and compliance with data governance standards. Qualification Required: - Bachelors or Masters degree in Computer Science, AI/ML, or related field. - 2+ years of experience in building AI/ML solutions, with at least 1 year focused on generative AI. - Hands-on experience with Vertex AI, GDK, and other Google Cloud AI tools. - Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow). - Experience with LLMs, prompt engineering, and agent frameworks. - Familiarity with software testing tools and methodologies (e.g., Jira, Selenium, Appium, JUnit, TestNG, etc.).,