Senior Machine Learning Engineer, Agentic Systems - Moveworks
Core
Build and optimize scalable ML infrastructure for training, evaluation, and deployment of large language models (LLMs) and agentic AI systems.
Role type
Senior Machine Learning Engineer (ML Infrastructure)
Builds
Distributed training and inference pipelines, model evaluation/monitoring frameworks, and LLM serving systems for enterprise AI.
Domain
Enterprise AI, Large Language Models (LLM), Agentic Systems
Deliverable
production ML models
Required skills
Deep learning frameworks (PyTorch, HuggingFace), LLM serving frameworks (vLLM, TensorRT-LLM), end-to-end ML system scaling, microservices and ETL pipelines, Python, C++ or GoLang
Preferred skills
Research publications in ML and software engineering
Technologies
PyTorch, HuggingFace, vLLM, TensorRT-LLM, Python, C++, GoLang
Responsibilities
Design and optimize scalable ML infrastructure; Build abstractions to automate ML workflows; Collaborate with cross-functional teams to build new features; Drive best practices in ML and data engineering
Seniority
Senior, hands-on IC