Remote Staff ML Engineer - Agentic AI for Enterprise

Servicenow

Mountain View (CA)

On-site

USD 180,000 - 230,000

Full time

14 days+
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Job summary

Moveworks is expanding its agentic AI capabilities and is seeking an experienced software engineer with machine learning expertise to join the team. You will work in a data-centric, eval-driven environment, leveraging best-in-class LLMs and multimodal models to enhance enterprise AI experiences.

You will contribute to a high-performance AI platform, collaborate with other engineering functions, and help deliver reliable, scalable solutions that improve user interactions and task automation.

Qualifications

  • Experience building production-grade ML systems and services.
  • Strong knowledge of ML fundamentals, model evaluation, and deployment.
  • Proficiency in Python and at least one systems language (Golang) for backend and tooling.
  • Familiarity with large language models and agentic AI concepts.
  • Experience with data-centric development, experimentation, and A/B testing.

Responsibilities

  • Apply software engineering, ML, and AI system engineering to create lasting value for customers.
  • Improve agent behavior for reliability and usefulness in real-world interactions.
  • Design and implement scalable, production-ready AI components and workflows.
  • Collaborate with cross-functional teams to ship improvements rapidly and safely.
  • Read, discuss, and apply state-of-the-art ML research to optimize performance.

Skills

Python
Golang
ML
Deep Learning
LLMs
AI Systems
Software Engineering

Job description

Moveworks is expanding its agentic AI capabilities and is seeking an experienced software engineer with machine learning expertise to join the team. You will work in a data-centric, eval-driven environment, leveraging best-in-class LLMs and multimodal models to enhance enterprise AI experiences.

You will contribute to a high-performance AI platform, collaborate with other engineering functions, and help deliver reliable, scalable solutions that improve user interactions and task automation.

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