Software Engineer, Agentic AI Systems - Moveworks

ServiceNow ServiceNow · Enterprise · Mountain View, CA +1 · Engineering

Software Engineer on the Agentic AI Systems team, focusing on advancing the Moveworks AI Assistant platform. Responsibilities include agent orchestration, code execution, latency optimization, agent memory, LLM self-reflection, execution environment simulation, enterprise knowledge graphs, and multimodal I/O. The role involves implementing frontier AI algorithms, productionizing them at scale, and enhancing products using ML, LLMs, and AI agents.

What you'd actually do

  1. 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
  2. Implement frontier AI algorithms and architectures and help productionize them at scale
  3. Use the latest advances in machine learning, LLMs, and AI agents to enhance our products and create delightful user experiences
  4. Contribute to roadmap and help drive the evolution of engineering areas of growing scope and impact to create lasting value for all our customers
  5. Hone your craft in writing robust, extensible, readable, and performant code

Skills

Required

  • Designing, building, and improving production systems
  • Thinking and communicating clearly about complex engineering problems and systems
  • Giving and receiving feedback
  • Holding yourself and your coworkers accountable to a high standard of operational excellence
  • Mac development environment
  • Programming in Python, Golang, and/or Java
  • Shipping at a startup pace with a high degree of ownership
  • Attention to detail
  • Shipping product improvements with production-grade code
  • Continuous incremental wins and completing challenging projects fast
  • Curiosity about engineering outside of immediate discipline
  • Desire to learn and stay at the cutting edge of applied AI

What the JD emphasized

  • production systems
  • agent orchestration
  • code execution
  • latency optimization
  • agent memory
  • LLM self-reflection
  • execution environment simulation
  • enterprise knowledge graphs
  • multimodal I/O
  • productionize them at scale
  • production-grade code

Other signals

  • Agentic AI platform
  • LLMs
  • orchestration
  • code execution
  • enterprise knowledge graphs
  • multimodal I/O