LLM / Agentic AI / Full-Stack AI Engineering
Summary
Senior full-stack AI engineer building LLM-based agents and retrieval systems using RAG, embeddings, and vector databases with PyTorch and AWS Bedrock.
Description: This role requires working onsite 4 days per week, and a F2F interview at the client’s Jersey City location is mandatory. 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, Terr…