FetchUnited StatesLeads automation and evaluation programs for AI Operations, architecting scalable workflows with LLMs, datasets, and quality systems. Requires 5+ years leading complex AI initiatives, cross-functional influence, and metrics-driven impact; familiarity with data pipelines preferred.
Base salary range: $97,000 - $114,000
Builds high-performance infrastructure for brain reverse-engineering via large-scale AI models and neuroscience-informed simulations. Architects systems, optimizes RL environments, and scales research prototypes to production.
Build and evolve shared AI/ML infrastructure including LLM proxy server, observability tooling, and ML Ops platform capabilities. Focus on LLM Ops and ML Ops to improve how models are accessed, monitored, evaluated, deployed, and governed in production.
Build agentic AI workflows and LLM-powered loyalty experiences on the Loyalty Wallet team. Requires 6+ years building production AI/LLM systems with strong backend fundamentals.
Designs and scales enterprise MLOps platform focused on Generative AI and LLMs on AWS, owning architecture for pipelines, deployment, monitoring, governance, and cost optimization. Requires 6+ years ML engineering experience with SageMaker, RAG, and production LLM operationalization.
Owns evaluation frameworks, datasets, and automations to enhance AI system performance in operations. Requires 3+ years experience with AI tools, LLM workflows, scripting (SQL/Python), and driving ambiguous tasks to execution.