Senior Machine Learning Engineer (RAGs)

This is a full-time engineering role centered on execution. You will architect production AI systems alongside client teams, remediating complex bottlenecks where retrieval precision, model alignment, latency, and system reliability are mission-critical.

We hold a high bar for excellence; you will operate among elite peers who uphold these same rigorous engineering standards.

You will architect and operationalize end-to-end RAG systems in production environments, navigating critical trade-offs in retrieval strategy, LLM orchestration, evaluation frameworks, and scalable cost-optimization.

Success requires the ability to justify architectural decisions with first-principles reasoning. This role will accelerate your mastery through sophisticated technical challenges and immersion in high-impact, research-backed systems.

As a Senior Machine Learning Engineer at Factored, you will engineer AI solutions that drive measurable business impact for leading U.S. companies. You will solve real-world problems at scale, bridging the gap between theoretical research and production defining how modern GenAI ecosystems are deployed.