Software Engineer, Agentic AI Systems - Moveworks at ServiceNow

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 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