AI Agent Engineer, Client Experience
New
O
OrbisAgentic AI
Location: Remote-USFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- Must have 5 years proven experience translating user requirements into wireframes, workflows and such. Must have 1-year proven experience utilizing Claude or similar commercial offering to build AI agents.
- Required Skills
- RESTful APIsScriptingPrompt EngineeringLangChain
Requirements
- Have 5 years of proven experience translating user requirements into wireframes and workflows.
- Have 1 year of proven experience using Claude or a similar commercial offering to build AI agents.
- Demonstrate experience building a functioning multi-agent workflow and explaining its design rationale, handoffs, shared context, failures, and fixes.
- Have practical command of prompt engineering, including retrieval-augmented generation (RAG) and tool or function calling.
- Explain technical work, system behavior, limits, and failure modes to non-technical audiences.
- Elicit requirements from stakeholders who cannot provide a specification and reach a working solution.
- Troubleshoot agent workflows built on platforms such as Claude, GPT-class models, LangChain, AutoGen, or CrewAI, and isolate failures across prompts, tools, data, and orchestration.
- Have working proficiency with APIs and sufficient scripting ability to build and debug workflows independently; JSON payloads or Python scripts must not be a blocker.
- Use sound judgment about model output and identify when an output should not be trusted.
- Produce strong written documentation, runbooks, and reports for program leads and executives.
- Have experience building and operating external-facing interfaces, portals, or client-facing applications in production.
- Have experience designing or automating customer onboarding and provisioning.
- Have experience designing and instrumenting support workflows for intake, triage, escalation, and resolution.
Responsibilities
- Design, build, and deploy production agentic AI workflows for triage, data retrieval, summarization, reporting, and escalation routing.
- Translate system behavior, reliability, limits, and failure modes for non-technical stakeholders, and turn process-owner descriptions into workflow specifications.
- Partner with process owners to build and refine workflows that fit their operations.
- Monitor production workflows, diagnose failures across prompts, tools, data, and orchestration, and resolve issues or escalate them to engineering.
- Track AI workload costs and identify ways to keep execution costs defensible as volume grows.
- Define accuracy standards, human review checkpoints, and escalation criteria, and build checks to verify quality.
- Author and maintain workflow runbooks, SOPs, client-facing documentation, release notes, and status communications.
- Build and operate client-facing interfaces and portals, and automate client onboarding, provisioning, configuration, and first-run experiences.
- Build and instrument support workflows for client request intake, triage, escalation, and resolution.
- Produce recurring reports and data exports for resolution rate, escalation rate, output accuracy, response time, and employee satisfaction.
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