Remote AI Agent Engineer - Client Experience

Orbis

United States

Hybrid

USD 160,000 - 200,000

Full time

2 days ago
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Benefits offered by this job

Competitive retirement matching
Paid time off

Job summary

Orbis is seeking an AI Agent Engineer to design, build, and deploy multi-agent decision workflows that power mission support operations. You will own client onboarding experiences, triage, escalation, and resolution for Orbis products in the field.

Occasional travel is expected, with a focus on reliability and measurable performance. You will collaborate with product and engineering across Catalyst, Pulse, and Discovery to ensure data access and actionable outputs, while maintaining

Qualifications

  • 5+ years translating user requirements into wireframes and workflows.
  • 1+ year using Claude or similar to build AI agents.
  • Experience building multi-agent workflows and explaining design rationales.

Responsibilities

  • Design, build, and deploy multi-agent AI workflows in production.
  • Explain system behavior to non-technical stakeholders clearly.
  • Collaborate with process owners to tailor capabilities to operations.
  • Monitor production, diagnose failures, and manage escalation.
  • Own cost of execution and optimize prompts, caching, and steps.
  • Document learnings with runbooks and SOPs.
  • Integrate workflows across Orbis products for data access.
  • Deliver reporting on metrics like resolution and response times.

Skills

Wireframes & workflows
Prompt engineering
API scripting
Agentic AI design

Tools

Claude
LangChain
AutoGen
CrewAI

Job description

Orbis is seeking an AI Agent Engineer to design, build, and deploy multi-agent decision workflows that power mission support operations. You will own client onboarding experiences, triage, escalation, and resolution for Orbis products in the field.

Occasional travel is expected, with a focus on reliability and measurable performance. You will collaborate with product and engineering across Catalyst, Pulse, and Discovery to ensure data access and actionable outputs, while maintaining

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