AI ENGINEERING CAREERS

Lead SDET (AI)

AI Quality Engineering Leader

6+ Years Experience • AI Automation & LLM Testing

LLM Testing RAG Validation AI Automation

Job Information

💼 Experience
6+ Years

🎯 Position
Lead SDET (AI)

🤖 Domain
AI Quality Engineering

📈 Level
Technical Leadership

🚀 APPLY NOW

Core Skills

AI Testing LLM Validation RAG Testing Hallucination Testing Bias Detection Automation Frameworks CI/CD AWS Azure Google Cloud MLOps Performance Testing

AI Testing Areas

LLM Model Validation
Retrieval-Augmented Generation (RAG) Testing
Hallucination Detection
Bias & Fairness Evaluation
AI Automation Framework Design
Model Drift Validation
Enterprise AI Quality Strategy
Scalability & Reliability Testing

Key Responsibilities

Define end-to-end QA strategy for AI products.
Architect reusable automation frameworks for enterprise AI.
Design testing methodologies for RAG, hallucinations, bias, and drift.
Drive AI quality initiatives across engineering teams.
Lead architecture discussions and influence engineering decisions.
Coach QA engineers and establish AI testing best practices.

Required Skills

6+ years of QA or SDET experience.
Strong expertise in AI tools and LLM model testing.
Experience designing scalable automation frameworks.
Knowledge of AI testing methodologies and quality strategy.
Strong leadership, mentoring, and decision-making abilities.
Excellent problem-solving and cross-functional collaboration skills.

Bonus Skills

Experience with AWS, Azure, or Google Cloud.
Knowledge of MLOps pipelines and AI monitoring.
Experience in AI workload performance and scalability testing.
Hands-on exposure to enterprise DevOps and CI/CD pipelines.

Why This Role Matters

Enterprise AI platforms require robust quality engineering to ensure reliability, safety, and scalability. This leadership role focuses on defining AI quality strategy, architecting automation frameworks, and validating advanced AI systems for production-ready deployment.

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