[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All ServiceNow jobs](https://jobs.opennash.com/companies/servicenow/) · [Search jobs](/search/) ServiceNow · Mountain View, CA # Staff Machine Learning Engineer, Agentic AI Harness & Quality - Moveworks Mountain View, CALIFORNIA, United States Full-time Senior individual contributor Data & Analytics Listed on ServiceNow’s official careers site. Posted August 5, 2026. Check that it is still open and apply there. [Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000141813872-staff-machine-learning-engineer-agentic-ai-harness-quality-moveworks) [OpenNash Jobs](https://jobs.opennash.com/) / [ServiceNow](https://jobs.opennash.com/companies/servicenow/) / Staff Machine Learning Engineer, Agentic AI Harness & Quality - Moveworks ## Job description The Role We are looking for an experienced software engineer with machine learning expertise to join us in expanding Moveworks agentic AI capabilities, enabling increasingly magical user experiences and improving Moveworks agentic and conversational AI capabilities platform-wide. As a member of the Agentic AI Harness & Quality team, you will have all the tools of modern agentic AI engineering at your disposal, from best-in-class LLMs, multimodal foundation models, and hybrid vector databases to all the infrastructure needed to tune, evaluate, and serve both models and agents in production. We are an eval-driven, data-centric team, and you will have the assistance of a world-class annotation team to build error-free, inclusive, and privacy-preserving datasets for tuning and evaluation. You will also go beyond model training to achieve state-of-the-art AI performance in production, in every meaning of the word “performance”: not just accuracy and quality of outputs, but also latency, reliability, and capability of the end-to-end user-facing system as a whole. Successful machine learning engineers on the team are motivated to design and maintain high-performing compound AI systems, with model training as one tool among many in the toolbox rather than the central responsibility of the job. Our team indexes on increasing our ability to move fast, solving challenging product and engineering challenges, and pushing the envelope of agent reliability and value provided to customers. Your work will impact our team’s core objective to build the highest-performing enterprise assistant platform the world has ever seen, in close collaboration with other functions within Moveworks and ServiceNow as a whole. ### What you get to do in this role - Apply software engineering, machine learning, and compound AI system engineering to create lasting value for all our customers - Drive quality in agent behavior, both in terms of increasing utility for end users and decreasing misbehavior in the customer business environment - Take on exciting and difficult challenges in AI harness engineering, such as agent cognitive architecture, eval benchmark creation, context engineering, generative UI, dynamic agent orchestration, multimodal I/O, multilinguality, conversational memory management, reasoning strategies, abstractive summarization, grounding and verifiability for generated text, deployment safety, and self-learning Read, discuss, and build on the latest ML/LLM research and open-source repositories and models - Research and develop innovative, scalable and dynamic solutions to hard problems - Use your knowledge of machine learning fundamentals and LLMs to make improvements to the agentic harness and its AI components, evaluate them with small scale experiments and productionize your solutions at scale - Partner closely with web and chat platform engineering teams to turn harness investments into delightful user experiences that wow our customers ## Qualifications To be successful in this role you have: - Drive to ship product improvements with production-quality, fully unit-tested code and rigorously-evaluated updates to models, prompts, or other tunable system components - Ability to solve problems end-to-end with machine learning - Solid grasp of model evaluation fundamentals, especially for agent trajectories, text generation, text classification, and non-uniform sampling regimes Attention to detail and high standard of data quality for training and especially evaluation datasets Readiness to hit the ground running in a Mac development environment, programming in Python and/or Golang - Familiarity with deep learning architectures and algorithms and leading large language models Desire to work at a startup pace in a medium-sized company with a high degree of ownership - Drive to ship product improvements with production-grade code - Strong appetite for continuous incremental wins and completing challenging projects fast High level of curiosity about engineering outside of immediate discipline and ongoing desire to learn and stay at the cutting edge of NLU & AI ## At a glance - Posted by the employer: Aug 5, 2026 - First seen by OpenNash: Oct 10, 2026 - Last checked: Oct 17, 2026 - Listed for: 73 days - Location: Mountain View, CALIFORNIA, United States - Employment type: Full-time[Apply on ServiceNow’s careers site →](https://jobs.smartrecruiters.com/ServiceNow/744000141813872-staff-machine-learning-engineer-agentic-ai-harness-quality-moveworks) ## More jobs at ServiceNow ### [Machine Learning Engineer, GAI Search Platform - Moveworks](https://jobs.opennash.com/companies/servicenow/jobs/7ba09a348678959eeaac/) Mountain View, CALIFORNIA, United States ### [Machine Learning Engineer, GAI Search Relevance - 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