AI QE Manager

Job Title: AI QE Manager

Location: Alpharetta GA (Onsite 5 days a week)

10 years overall (minimum 5 years in AI/ML and GenAI)

Required Skills

• Strong proficiency in Python (FastAPI Flask async programming RESTful APIs).
• Proven experience in AI/ML pipelines data preprocessing model training fine-tuning and deployment (TensorFlow PyTorch Scikit-learn).
• Must have hands-on with GenAI frameworks (LangChain LlamaIndex LangGraph Neo4j Bedrock etc.).
• Hands-on experience implementing the RAG pipelines - Knowledge Management with vector databases embeddings Graphs.
• Working knowledge of prompt engineering optimisation and fine-tuning.
• Familiarity with Graph databases (Neo4j) or agent-based architectures.
• Architect and code in Python for scalable reusable and high-performing systems.
• Strong grounding in software quality engineering concepts and automation frameworks.
• Solid understanding of CI/CD containerization (Docker/Kubernetes) and cloud(AWS) deployment.
• Excellent debugging performance optimization and solutioning skills.

Nice to Have

• Experience with Playwright/Selenium-based test automation frameworks.
• Prior experience in product.

Job Duties

• Lead QA team members by setting clear objectives providing ongoing guidance mentorship without direct supervisory responsibilities.
• Define and implement robust QA processes standards and best practices to ensure consistency efficiency and compliance across all testing activities.
• Develop and maintain comprehensive test plans detailed test cases and scalable automation scripts to validate functionality performance and reliability of software products.
• Ensure timely and accurate execution of various testing types including functional regression integration and performance testing while adhering to project timelines and quality benchmarks.
• Collaborate closely with cross-functional teams such as development product management and operations to identify analyse and resolve defects effectively ensuring smooth delivery cycles.
• Drive continuous improvement initiatives by evaluating and upgrading testing methodologies tools and frameworks to enhance efficiency and reduce time-to-market.
• Prepare and present detailed QA metrics dashboards and reports to stakeholders providing insights into quality trends defect analysis and overall product health.
• Manage risk assessment and develop mitigation strategies to proactively address potential quality issues ensuring product stability and customer satisfaction.