LLM / Agentic AI / Full-Stack AI Engineering Level Senior Individual Contributor Target / alternate titles LLM Engineer; GenAI Engineer; Machine Learning Engineer - LLM; AI Platform Engineer; NLP Engineer; Applied ML Engineer; RAG Engineer Core keywords LLM, GenAI, RAG, embeddings, vector database, LangChain, LlamaIndex, Hugging Face, PyTorch, AWS Bedrock, SageMaker, OpenSearch, Kubernetes, Docker, Terraform, CI/CD, MLOps, LLMOps, model serving Recruiter red flags Only notebook or prototype experience; no AWS/cloud deployment ownership; weak API engineering; no Terraform/IaC or pipeline exposure; cannot explain evaluation, security, or rollback controls. Experience should map to business AI use cases such as KYC, credit underwriting, pitch book generation, Banker 360, Customer 360, deal library intelligence, financial crime quality, and sanctions screening.