Staff Machine Learning Engineer, Agentic AI Harness & Quality - Moveworks
Core
Design and maintain high-performing compound AI systems, focusing on agent reliability, latency, and end-to-end user-facing system performance rather than just model training.
Role type
Staff Machine Learning Engineer (Agentic AI Systems)
Builds
Enterprise agentic AI assistant platform with multimodal foundation models and hybrid vector databases
Domain
Enterprise IT Service Management (ITSM) + Agentic AI
Deliverable
production ML models | product features
Required skills
compound AI system engineering, model evaluation for agent trajectories, deep learning architectures, LLMs, Python, Golang, context engineering, dynamic agent orchestration, generative UI, reasoning strategies, abstractive summarization, grounding and verifiability, deployment safety, self-learning mechanisms
Preferred skills
experience with eval benchmark creation, multilinguality, conversational memory management, reading and building on latest ML/LLM research
Technologies
LLMs, multimodal foundation models, hybrid vector databases, Python, Golang
Responsibilities
Drive quality in agent behavior to increase utility and decrease misbehavior; solve challenging problems in AI harness engineering; research and develop scalable solutions to hard problems; partner with platform teams to turn harness investments into user experiences
Seniority
Staff, hands-on IC with strategic impact
