Orbis Operations
AI Agent Engineer, Client Experience
Remote-US · Remote · Full-time · Posted Oct 2, 2026
- Experience
- 5 years translating user requirements into wireframes and workflows; 1 year using Claude or a similar commercial offering to build AI agents. Other experience requirements are stated without durations.
About the job
Builds and operates multi-agent AI workflows and client-facing support experiences for Orbis products, including onboarding, request handling, and service performance.
What you'll do
- Design, deploy, monitor, and troubleshoot production agentic workflows; define quality checks, human review, and cost controls.
- Build and operate client-facing interfaces, onboarding, and support workflows, and track their reliability and performance.
- Maintain runbooks, client documentation, reports, and feedback loops; translate client friction into product changes.
What they ask for
- 5 years proven experience translating user requirements into wireframes, workflows and such.
- 1-year proven experience utilizing Claude or similar commercial offering to build AI agents.
- Demonstrated experience building a functioning multi-agent workflow and explaining its design, handoffs, failures, and fixes.
- Practical command of prompt engineering, including retrieval-augmented generation (RAG) and tool or function calling.
Nice to have
- 5-7 years experience in software development; experience coding using Python.
- Experience with modern front-end frameworks such as React; ticketing or CRM platforms such as Zendesk, ServiceNow, or Jira Service Management.
Tools
Claude, GPT-class models, LangChain, AutoGen, CrewAI, Python, React, Zendesk
AI focus
Build and operate production multi-agent workflows for triage, retrieval, summarization, reporting, and escalation; troubleshoot agents, set output-quality standards, and monitor AI reliability and cost.
Model-written summary · the original posting is authoritative