Principal Engineer, NLP

Posted 2 days ago

San DiegoLast seen today

Summary

Principal Engineer responsible for designing and building enterprise-scale NLP systems, including retrieval-augmented generation architectures, agentic AI workflows, and knowledge graph integration. Will develop evaluation methodologies for LLM trustworthiness, optimize distributed inference systems for production deployment across on-prem and cloud environments, and lead NLP engineering best practices. Requires 12+ years of software engineering with 8+ years building production NLP/ML systems, deep expertise in transformers, LLMs, RAG, semantic search, and hands-on proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks.

Data Science Machine Learning Python Agentic AI AI Observability Continued Pretraining Conversational AI Deep Learning Distributed Computing Distributed ML Infrastructure Embedding Models Entity Recognition Fine Tuning Graph Enhanced NLP Hugging Face Information Retrieval Jax Knowledge Graphs LLM Large Language Models Model Evaluation NLP Prompt Engineering PyTorch Reinforcement Learning Relation Extraction Representation Learning Retrieval Augmented Generation Semantic Search Spark Synthetic Data Generation TensorFlow Transformer Architectures Vector Databases Vector Search