AI & LLM Test Engineer

You have a total of 4-8 years of Quality Engineering experience with a minimum of 2-3 years specifically in AI/ML and GenAI. Your role will involve the following responsibilities: - Hands-on experience with GenAI frameworks such as LangChain, LlamaIndex, LangGraph, Neo4j, Bedrock, etc. - Implementation of RAG pipelines including Knowledge Management with vector databases, embeddings, and Graphs. - Familiarity with prompt engineering, optimization, and fine-tuning processes. - Knowledge of Graph databases like Neo4j or agent-based architectures. - Architect and code in Python to develop scalable, reusable, and high-performing systems. - Proficiency in Python including FastAPI, Flask, async programming, and building RESTful APIs. - Experience in AI/ML pipelines covering data preprocessing, model training, fine-tuning, and deployment using TensorFlow, PyTorch, and Scikit-learn. - Understanding of software quality engineering concepts and automation frameworks. - Proficiency in CI/CD, containerization using Docker/Kubernetes, and cloud deployment on AWS. - Strong debugging, performance optimization, and solutioning skills. Additionally, it would be nice to have experience with Playwright/Selenium-based test automation frameworks. Please note that the company may have additional details available in the job description. You have a total of 4-8 years of Quality Engineering experience with a minimum of 2-3 years specifically in AI/ML and GenAI. Your role will involve the following responsibilities: - Hands-on experience with GenAI frameworks such as LangChain, LlamaIndex, LangGraph, Neo4j, Bedrock, etc. - Implementation of RAG pipelines including Knowledge Management with vector databases, embeddings, and Graphs. - Familiarity with prompt engineering, optimization, and fine-tuning processes. - Knowledge of Graph databases like Neo4j or agent-based architectures. - Architect and code in Python to develop scalable, reusable, and high-performing systems. - Proficiency in Python including FastAPI, Flask, async programming, and building RESTful APIs. - Experience in AI/ML pipelines covering data preprocessing, model training, fine-tuning, and deployment using TensorFlow, PyTorch, and Scikit-learn. - Understanding of software quality engineering concepts and automation frameworks. - Proficiency in CI/CD, containerization using Docker/Kubernetes, and cloud deployment on AWS. - Strong debugging, performance optimization, and solutioning skills. Additionally, it would be nice to have experience with Playwright/Selenium-based test automation frameworks. Please note that the company may have additional details available in the job description.