Principal AI Engineer
Key Responsibilities & Skills AI-driven SDLC AI Platform Architecture Design Engineering Quality & Observability Production AI System Development Retrieval-Augmented Generation (RAG) Pipelines LLM Evaluation Frameworks Guardrails & AI Safety Standards Agentic System Development Generative AI Product Design Technical Standards Enforcement MLops Modern Life Cycle Management Guardrails AI safety standards Engineering Quality Observability Vector Search Embedded Infrastructure Technical Skills Claude Code / GitHub Copilot / Cursor Python LangChain / LlamaIndex TensorFlow / PyTorch Vector Search Engines MLOps Platforms CI/CD (GitHub Actions) Cloud Infrastructure (AWS / Google Cloud Platform / Azure) APIs / REST / gRPC Event-Driven Architecture (Kafka / PubSub) Observability Tools (Prometheus / Grafana) Microsoft Office Suite / Google Workspace EducationBachelor's Degree in Computer Science, Software Engineering, Electrical Engineering, Artificial Intelligence, Machine Learning. Preferred: Master's in Computer Science, Master's in Artificial Intelligence, PhD in Computer Science, PhD in Machine Learning, PhD in AI. Industry Experience E-commerce AI / GenAI Platforms Large-Scale Distributed Systems Cloud Services SaaS Enterprise Software