Senior Software Engineer - Retrieval-Augmented Generation (RAG) System at Elsevier

This role is designed for a senior developer with at least five years of experience who has transitioned into the AI space, specifically building and operating production-scale retrieval systems. You should have a deep technical background in Python and hands-on experience managing the entire lifecycle of LLM applications, from embedding generation to MLOps. **What makes it worth a look...** Elsevier offers a stable, high-impact environment where you can apply generative AI to massive datasets in the medical and scientific fields. The compensation is transparent, featuring a base salary up to $163,467 for New Jersey residents plus an annual incentive bonus and comprehensive country-specific benefits. **You might be a good fit if you...** * Have built end-to-end RAG pipelines using vector databases and reranking strategies. * Are proficient with Python and cloud infrastructure like AWS, Docker, and Kubernetes. * Understand MLOps workflows including model versioning, feature stores, and CI/CD for AI services. * Have used tools like LangGraph, MLflow, or New Relic to monitor and optimize low-latency LLM applications.