AI/LLM Test Engineer

Test Automation Engineer | AI/ML |
Quality Engineering Experience:4–8 years overall (minimum 2-3 years in AI/ML and GenAI)

Required Skills
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, optimization 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 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).
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