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Closed on August 20, 2026.
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Staff Machine Learning Engineer, Agentic Systems
Agent Orchestration
Agentic Ai
Ai Agents
Ai Ml
Ai Workflows
Artificial Intelligence
DevOps
Ml Ops
Multi Agent Systems
Openai
Programming Language
Programming Languages
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Job Description
On-site Mountain View, CA, the Staff Machine Learning Engineer role focuses on building scalable AI agent systems for enterprise workflows with end-to-end integration across Moveworks and ServiceNow, and requires 8+ years of experience.
Responsibilities
- Tackle challenging engineering problems to design and evolve reliable AI agent systems for enterprise workflows.
- Prototype and productionize frontier AI algorithms and architectures at scale.
- Leverage the latest ML, large language models, and AI agent techniques to enhance products and deliver compelling user experiences.
- Contribute to the product roadmap and drive the evolution of engineering areas with growing scope and impact to create lasting customer value.
- Write robust, extensible, readable, and performant code.
- Partner with subject matter experts across machine learning, security, product, user experience, and customer success to learn from peers and build the best enterprise AI product.
- Mentor other engineers on building, maintaining, and evolving high-quality software.
- Collaborate with fellow ML engineers to learn from each other and construct world-class AI systems.
- Drive end-to-end integration with Moveworks and ServiceNow to embed AI agents into enterprise workflows.
Requirements
- 8+ years of experience designing, building, and improving production systems, ideally at scale.
- Ability to articulate complex engineering problems and systems clearly.
- Comfort giving and receiving feedback and maintaining a high standard of operational excellence.
- Readiness to hit the ground running in a Mac development environment, with programming in Python, Go, and/or Java.
- Desire to ship at 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 quickly.
- High level of curiosity about engineering beyond the immediate discipline and a continuous desire to stay at the cutting edge of applied AI.
Technologies
- Python
- Golang
- Java
- OpenAI