Senior Technical Product Manager
possibilities into practical product directions, with a deep curiosity about emerging technologies (i.e. secure computation, RAG...
possibilities into practical product directions, with a deep curiosity about emerging technologies (i.e. secure computation, RAG...
across industries. What You'll Do Design and implement RAG (retrieval-augmented generation) pipelines for agent memory and knowledge...
American Express expense platform. Focus on RAG (Retrieval-Augmented Generation) implementations, fine-tuning models.... Strong applied experience with LLMs, RAG, fine-tuning, embeddings, and inference workloads. Hands-on experience building production...
") for the American Express expense platform. Focus on RAG (Retrieval-Augmented Generation) implementations, fine-tuning models.... Strong applied experience with LLMs, RAG, fine-tuning, embeddings, and inference workloads. Hands-on experience building production...
Express expense platform. Focus on RAG (Retrieval-Augmented Generation) implementations, fine-tuning models, and building.... Strong applied experience with LLMs, RAG, fine-tuning, embeddings, and inference workloads. Hands-on experience building production...
to enterprise CMS or DXP platforms, data engineering concepts including pipelines and vector databases, RAG architectures...
inference. Implement vector search integrations (Pinecone, Weaviate, FAISS) for retrieval-augmented generation (RAG). Data... with LLM fine-tuning, embeddings, and RAG pipelines. Knowledge of MLOps practices (Kubeflow, MLflow, Vertex AI, SageMaker...
, commercial, and supply chain operations. You will build and orchestrate LLM-based systems using RAG, agentic workflows...
to shape both technical and product direction Build and deploy LLM-based systems, including RAG pipelines, fine-tuned models... as needed Requirements Must-Have Skills Strong experience with modern AI techniques — LLMs, prompting, fine-tuning, RAG, vector databases...
quality, experience testing deterministic AI systems and Agent responses, Basic understanding of LLM concepts like RAG, KNN...