AI Agent Engineer for Client Experience – Remote

Orbis; United States; Hybrid; USD 140,000 - 190,000; Full time

Job summary

Orbis is building the agentic AI capability its mission support operations run on, and the AI Agent Engineer builds and operates it. Sixty percent of this role is common to every AI Agent Engineer at Orbis: designing, building, and deploying the multi-agent workflows behind triage, data retrieval, summarization, reporting, and escalation routing.

The remaining forty percent is this role’s focus — owning how clients get support on Orbis products already in the field.

Qualifications

• 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.
• Demonstrated experience building a functioning multi‑agent workflow, with the ability to walk through the design rationale, how the agents hand off work and share context, what broke, and how it was fixed
• Practical command of prompt engineering, including retrieval‑augmented generation (RAG) and tool or function calling
• Proven ability to explain technical work to non‑technical audiences — describing a system’s behavior, limits, and failure modes to a process owner or executive without hedging or retreating into jargon
• Demonstrated ability to elicit requirements from stakeholders who cannot hand over a specification, and to reach a working solution regardless
• Ability to troubleshoot agent workflows built on platforms such as Claude, GPT‑class models, LangChain, AutoGen, or CrewAI, and to isolate whether a failure originates in the prompt, the tool, the data, or the orchestration
• Working proficiency with APIs and sufficient scripting ability to build and debug workflows independently; software engineering experience is not required, but a JSON payload or a Python script must not be a blocker
• Sound judgment about model output, including the discipline to state plainly when an output should not be trusted
• Strong written communication. This role produces documentation, runbooks, and reports that program leads and executives rely on
• Experience building and operating external‑facing interfaces, portals, or client‑facing applications in production
• Experience designing or automating customer onboarding and provisioning
• Experience designing support workflows — intake, triage, escalation, resolution — and instrumenting them so performance is measurable

Responsibilities

• Design, build, and deploy agentic AI workflows.
• Explain to non-technical stakeholders what the systems do and where they are reliable.
• Work with process owners to tailor capabilities to their operations.
• Monitor production, diagnose failures, and resolve issues across prompts, tools, data, and orchestration.
• Track AI workloads costs and optimize where possible.
• Set quality standards and escalation criteria for automated workflows.
• Document what you build with runbooks and SOPs.
• Integrate workflows across Orbis products (Catalyst, Pulse, Discovery).
• Deliver reporting on resolution rate, escalation rate, accuracy, and response time.
• Identify capability gaps and push to engineering/product with detailed specs.

Skills

Wireframes & workflows

Claude AI agent experience

Prompt engineering

APIs & scripting

Multi-agent workflows

Non-technical communication

Tools

Claude

LangChain

AutoGen

CrewAI

Job description

Orbis is building the agentic AI capability its mission support operations run on, and the AI Agent Engineer builds and operates it. Sixty percent of this role is common to every AI Agent Engineer at Orbis: designing, building, and deploying the multi-agent workflows behind triage, data retrieval, summarization, reporting, and escalation routing.

The remaining forty percent is this role’s focus — owning how clients get support on Orbis products already in the field.