Software Engineer Graduate (AI/ML) - Moveworks

ServiceNow • Mountain View, CA

1d • Onsite

About The Position

Moveworks is seeking passionate new graduate software engineers to join its core AI and engineering teams. The role contributes to building and scaling enterprise AI across conversational search, agentic orchestration, evaluation frameworks, and core machine learning infrastructure. Candidates are matched to a specialized team based on their skills and interests, including GenAI Search Platform, Agentic System, Agentic Harness & Quality, Agentic Evaluation, or Core Infrastructure.

The engineer will build, test, and deploy machine learning models and agentic workflows used by enterprise users; collaborate with senior engineers to prototype, evaluate, and ship LLM-powered features; and address technical challenges involving NLP, retrieval-augmented generation, dynamic context management, and system latency. The role also involves developing evaluation methods and safety guardrails, and working with product managers, UX designers, and technical mentors to turn ideas into production software.

The position is designated as required in office. Moveworks operates as part of ServiceNow following its acquisition in December 2025.

Requirements

• Currently pursuing a Bachelor's, Master's, or Ph.D. in Computer Science, Engineering, Artificial Intelligence, or a related quantitative field, with a graduation date of August 2027 or earlier.
• Solid understanding of machine learning, NLP, data structures, algorithms, and software engineering fundamentals.
• Hands-on experience writing clean, efficient code in Python, C++, or Go.
• Project, internship, or research experience with LLMs, modern NLP models, RAG pipelines, or ML system infrastructure.
• High curiosity, fast learning agility, and enthusiasm for solving challenging engineering and AI problems.

Responsibilities

• Build, test, and deploy machine learning models and agentic workflows for enterprise users.
• Collaborate with senior engineers to prototype, evaluate, and ship LLM-powered features.
• Solve technical challenges in NLP, retrieval-augmented generation (RAG), dynamic context management, and system latency.
• Design evaluation rubrics and safety guardrails to assess accuracy, hallucination rates, and enterprise security.
• Partner with product managers, UX designers, and senior technical mentors to turn ideas into production code.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed