Software Engineer, Agentic AI Systems - Moveworks at ServiceNow

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

0.0

Posted On

14 May, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Golang, Java, AI Agent Orchestration, LLM Self-reflection, Latency Optimization, Enterprise Knowledge Graphs, Multimodal I/O, Production Systems Design, Machine Learning, Software Architecture, Code Execution Sandboxing

Industry

Software Development

Description

Company Description Who we are Moveworks is the Agentic AI Assistant platform that empowers the entire workforce. Our platform enables employees to converse with all of their business systems through natural language to quickly find answers and automate tasks. Powered by the world's most advanced LLMs, our proprietary models, and a sophisticated Agentic AI platform, we're transforming how work gets done by allowing AI to take initiative, streamline complex workflows, and continuously learn and adapt. Moveworks is trusted by over 5.5 million employees at more than 350 of the world’s largest companies, including 10% of the Fortune 500, to automate everyday tasks and streamline business operations. Recognized on the Forbes Cloud 100 and AI 50 lists, Moveworks was also named one of Fast Company’s 2025 Most Innovative Companies and Inc’s Best in Business, in the Best in Innovation category. Moveworks was also recognized at Microsoft’s 2025 Partner of the Year and in 2024, received the AI Breakthrough Award. In December 2025, Moveworks was acquired by ServiceNow, marking a pivotal milestone in our journey to create a single front door to work for all business systems. By combining ServiceNow’s leading workflow automation with Moveworks’ Reasoning Engine and natural language capabilities, we deliver the AI platform for every person and every workflow. Built to go beyond basic summaries to deliver meaningful business impact. Together, our AI acts across enterprise systems to turn conversations into completed work. By joining our team, you’ll be at the forefront of the AI transformation, backed by the global scale of ServiceNow and the agility of a high-growth company. We are looking for world-class talent to help us extend agentic AI to every employee across every corner of the business. Come join us! ServiceNow It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description The Role Are you a software engineer who has honed your craft, partnership, and execution over years building and improving production systems, and are looking to apply your skills at the cutting edge of AI agents? This may be the role for you. As a senior software engineer on our “agent lab” Natural Language Understanding team, you will play an important part in our mission: to advance the frontier of work that can be entrusted to agents to perform reliably at scale. You will have the opportunity to contribute to the evolution of the Moveworks AI Assistant platform in several of the following areas: agent orchestration, sandboxed file systems and code execution, latency optimization, agent memory, LLM self-reflection and improvement, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. You will have all the tools of modern enterprise AI at your disposal, including best-in-class LLMs from providers like OpenAI. Our team indexes on moving fast on scalable infrastructure, solving challenging product and engineering problems, and pushing the envelope of value provided to customers. If you are looking to do impactful work with a bright, dedicated, and impact-driven team alongside you, we’d love to have a conversation. What you get to do in this role: Take on exciting and difficult engineering challenges (see areas listed above) to build and evolve capable AI agent systems that are reliable in every sense of the word Implement frontier AI algorithms and architectures and help productionize them at scale Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences Contribute to roadmap and help drive the evolution of engineering areas of growing scope and impact to create lasting value for all our customers Hone your craft in writing robust, extensible, readable, and performant code Partner with subject matter experts across the company including in machine learning, security, product, user experience, and customer success, to learn from each other and build the best enterprise AI product the world has ever seen Mentor other engineers on the team in how to build, maintain, and evolve great software Collaborate with machine learning engineers, learn from each other, and build world-class AI systems Qualifications To be successful in this role you have: 0-2 years experience designing, building, and improving production systems, ideally at scale Ability to think and communicate clearly about complex engineering problems and systems Comfort giving and receiving feedback, and in holding yourself and your coworkers accountable to a high standard of operational excellence Readiness to hit the ground running in a Mac development environment, programming in Python, Golang, and/or Java Desire to ship at a startup pace with a high degree of ownership Attention to detail 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 applied AI Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. Employee Type: Regular Region: AMS - North America and Canada Work Persona: Required in Office

Responsibilities

Develop and evolve reliable AI agent systems focusing on orchestration, memory, and LLM self-reflection. Collaborate with cross-functional teams to productionize frontier AI algorithms and enhance user experiences at scale.