Nexus Intelligence
Forward Deployed Engineer
San Francisco · On-site · Full-time · Posted Aug 21, 2026
- Experience
- New graduates are welcome; no specific years of experience stated.
About the job
Leads AI agent strategy and implementation for manufacturing customers, building workflows and turning deployment learnings into reusable platform improvements.
What you'll do
- Own customer relationships and AI agent deployments across multiple clients and manufacturing sites.
- Design and ship agentic workflows for equipment root-cause analysis, production scheduling, and process optimization.
- Turn field learnings into reusable agents, connectors, and product feedback.
What they ask for
- Strong software engineering skills and fluency with the AI stack; experience building with LLMs or deep familiarity with the tools and landscape.
- Ability to manage ambiguity across multiple clients, sites, and implementations, and synthesize transferable insights.
- Demonstrated excellence through academics, work, open-source contributions, or public writing.
- Ability to own customer relationships, lead meetings, and communicate technical ideas to plant managers and process engineers.
Tools
LLMs
AI focus
Own AI agent strategy and implementation; build agentic workflows for manufacturing analysis, scheduling, and optimization.
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